AI Screenr
AI Interview for Tutors

AI Interview for Tutors — Automate Screening & Hiring

Automate tutor screening with AI interviews. Evaluate lesson planning, classroom management, and differentiated instruction — get scored hiring recommendations in minutes.

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By AI Screenr Team·

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The Challenge of Screening Tutors

Hiring tutors involves navigating through a variety of teaching philosophies and methodologies, requiring multiple interviews to assess their ability to create effective lesson plans, manage classrooms, and differentiate instruction. Interviewers often find themselves repeatedly asking about lesson alignment with standards and classroom management strategies, only to discover candidates who can only offer generic, theory-based responses without practical application.

AI interviews streamline this process by allowing candidates to engage in structured educational scenarios on their own schedule. The AI delves into specific areas such as curriculum design and assessment strategies, providing scored evaluations. This enables you to replace screening calls with a consistent, in-depth analysis, identifying skilled tutors before moving forward with more resource-intensive interview stages.

What to Look for When Screening Tutors

Designing lesson plans aligned with state standards such as Common Core and TEKS
Managing classroom dynamics using proactive routines and de-escalation techniques
Implementing differentiated instruction tailored to diverse learning styles and abilities
Creating formative and summative assessments with data-informed instructional adjustments
Communicating with families and guardians using cultural sensitivity and empathy
Utilizing Google Classroom for assignment distribution and feedback
Incorporating edtech tools like Kahoot and Nearpod for interactive learning experiences
Applying backward design principles to curriculum development for targeted learning outcomes
Tracking student progress with digital gradebooks in platforms like Canvas and Schoology
Diagnosing underlying misconceptions in subject-matter tutoring to build long-term mastery

Automate Tutor Screening with AI Interviews

AI Screenr conducts voice interviews tailored to tutors, probing lesson planning, classroom management, and differentiation. Weak answers prompt deeper exploration, ensuring thorough automated candidate screening for educational roles.

Lesson Plan Analysis

Evaluates alignment with state standards and learning outcomes, pushing for clarity in objectives and assessment strategies.

Classroom Management Depth

Assesses ability to handle diverse classroom scenarios, de-escalation techniques, and proactive management routines.

Differentiation Insights

Probes strategies for varied learning styles and ability levels, ensuring robust instructional differentiation.

Three steps to your perfect tutor

Get started in just three simple steps — no setup or training required.

1

Post a Job & Define Criteria

Create your tutor job post with required skills like differentiated instruction and classroom management. Or paste your job description and let AI generate the entire screening setup automatically.

2

Share the Interview Link

Send the interview link directly to candidates or embed it in your job post. Candidates complete the AI interview on their own time — no scheduling needed, available 24/7. See how it works.

3

Review Scores & Pick Top Candidates

Get detailed scoring reports for every candidate with dimension scores, evidence from the transcript, and clear hiring recommendations. Shortlist the top performers for your second round. Learn more about how scoring works.

Ready to find your perfect tutor?

Post a Job to Hire Tutors

How AI Screening Filters the Best Tutors

See how 100+ applicants become your shortlist of 5 top candidates through 7 stages of AI-powered evaluation.

Knockout Criteria

Automatic disqualification for deal-breakers: minimum years of tutoring experience, subject proficiency, and state certification. Candidates who don't meet these move straight to 'No' recommendation, saving hours of manual review.

85/100 candidates remaining

Must-Have Competencies

Each candidate's ability in lesson planning aligned to state standards and classroom management is assessed and scored pass/fail with evidence from the interview.

Language Assessment (CEFR)

The AI switches to English mid-interview and evaluates the candidate's ability to communicate educational concepts at the required CEFR level, critical for diverse classroom settings.

Custom Interview Questions

Your team's most important questions on curriculum design and differentiation are asked to every candidate in consistent order. The AI follows up on vague answers to probe real teaching experience.

Blueprint Deep-Dive Questions

Pre-configured educational scenarios like 'Design a lesson plan for mixed-ability students' with structured follow-ups. Every candidate receives the same probe depth, enabling fair comparison.

Required + Preferred Skills

Each required skill (differentiated instruction, assessment design) is scored 0-10 with evidence snippets. Preferred skills (use of edtech tools like Nearpod, Kahoot) earn bonus credit when demonstrated.

Final Score & Recommendation

Weighted composite score (0-100) with hiring recommendation (Strong Yes / Yes / Maybe / No). Top 5 candidates emerge as your shortlist — ready for final interview.

Knockout Criteria85
-15% dropped at this stage
Must-Have Competencies67
Language Assessment (CEFR)52
Custom Interview Questions38
Blueprint Deep-Dive Questions25
Required + Preferred Skills13
Final Score & Recommendation5
Stage 1 of 785 / 100

AI Interview Questions for Tutors: What to Ask & Expected Answers

When interviewing tutors — whether manually or with AI Screenr — the right questions can uncover a candidate's ability to effectively design lessons and manage diverse learning environments. Below are key areas to assess, drawing from Common Core standards and real-world teaching practices.

1. Curriculum and Lesson Design

Q: "How do you align lesson plans with state standards and learning outcomes?"

Expected answer: "In my previous role, I regularly aligned lesson plans with Common Core standards using tools like Google Classroom and IXL. For example, I designed a geometry unit plan that increased student mastery by 15% on average, as measured by standardized assessments. I start by identifying the specific standards and learning outcomes, then structure each lesson to build toward these goals. I also incorporate formative assessments to adjust instruction in real time — this adaptability is crucial for ensuring all students meet or exceed standards. This approach not only improves test scores, but also enhances student engagement and understanding."

Red flag: Candidate fails to mention specific standards or tools, indicating a lack of structured planning.


Q: "Describe a time when you had to adjust a lesson plan mid-session."

Expected answer: "During a math tutoring session, I noticed students struggling with quadratic equations. I pivoted from the planned lesson to use Khan Academy videos and practice problems, which improved comprehension by 20% as per exit tickets. I always prepare flexible lesson plans that allow for on-the-fly adjustments. This ensures that if students face unexpected challenges, I can quickly address their needs without losing instructional time. The ability to adapt lesson plans is critical in addressing individual learning paces and maintaining progress toward learning outcomes."

Red flag: Candidate cannot describe a specific instance of adapting a lesson, suggesting inflexibility.


Q: "What tools do you use for designing engaging lesson activities?"

Expected answer: "I frequently use Nearpod and Kahoot to create interactive lessons that boost engagement. For instance, when teaching science concepts, I integrated interactive simulations that increased student participation by 30%, as tracked by engagement metrics in Nearpod. These tools provide instant feedback and gamified experiences, which cater to different learning styles and keep students motivated. By using edtech tools, I can create a dynamic learning environment that encourages active participation and reinforces key concepts through interactive practice."

Red flag: Candidate lacks familiarity with interactive tools, indicating potential challenges in engaging students.


2. Classroom Management

Q: "How do you implement proactive classroom management strategies?"

Expected answer: "In my classroom, I establish clear routines and expectations from day one, using visual cues and a digital task board. This approach reduced off-task behavior by 25%, as observed in class behavior logs. I employ positive reinforcement techniques and consistent routines, which help students understand what is expected of them. By using tools like ClassDojo, I can track and reinforce positive behaviors, creating a structured environment where students thrive. Proactive management not only minimizes disruptions but also fosters a supportive learning atmosphere."

Red flag: Candidate cannot provide specific strategies or metrics, indicating a lack of effective management techniques.


Q: "Can you give an example of de-escalating a student conflict?"

Expected answer: "I once managed a conflict between two students over a group project by facilitating a mediation session, using restorative practices. The conflict resolution led to a 40% improvement in their collaboration scores, as evaluated by peer assessments. I focus on active listening and empathy, guiding students to express their feelings and find common ground. By fostering open communication, I help students develop conflict resolution skills that are essential for a positive classroom environment. De-escalation is key to maintaining harmony and ensuring all students feel safe and respected."

Red flag: Candidate struggles to articulate a de-escalation process, suggesting potential for unresolved conflicts.


Q: "What role do routines play in your classroom management?"

Expected answer: "Routines are the backbone of my classroom management strategy. For example, by implementing a structured morning routine with a digital attendance check-in, I decreased tardiness by 15%, as recorded in attendance records. Consistent routines provide stability and structure, helping students transition smoothly between activities. This predictability reduces anxiety and creates a focused environment conducive to learning. I use tools like Google Classroom to maintain these routines digitally, making it easier for students to follow along and stay organized."

Red flag: Candidate does not emphasize the importance of routines, indicating a lack of structure in classroom management.


3. Differentiation and Assessment

Q: "How do you differentiate instruction for students with varying abilities?"

Expected answer: "In my previous tutoring role, I used formative assessments to identify student needs and differentiated instruction accordingly. For instance, I provided advanced problem sets for high achievers and scaffolded support for others, improving overall class performance by 18% on benchmark tests. By leveraging tools like Schoology, I can tailor assignments to individual skill levels, ensuring all students are challenged appropriately. Differentiated instruction not only addresses diverse learning needs but also promotes equity in the classroom, allowing every student to achieve their full potential."

Red flag: Candidate gives generic answers without specific examples or outcomes, indicating limited experience in differentiation.


Q: "What is your approach to designing assessments that inform instruction?"

Expected answer: "I design assessments with clear objectives aligned to state standards, using platforms like Canvas. In one case, my redesigned assessments led to a 25% improvement in student scores on final exams. I incorporate both formative and summative assessments to gauge understanding and adjust teaching strategies. Data from these assessments guide my instruction, allowing me to identify areas where students struggle and need additional support. By using data-driven insights, I can refine my teaching methods and improve student outcomes."

Red flag: Candidate lacks a structured approach to assessment design, indicating potential for ineffective evaluation.


4. Family Engagement

Q: "How do you involve families in the educational process?"

Expected answer: "I maintain regular communication with families through weekly emails and parent-teacher conferences. This approach increased parental involvement by 30%, as measured by conference attendance rates. I use platforms like Remind to send updates and share student progress, ensuring families are informed and engaged. By fostering open lines of communication, I build strong partnerships that support student learning. Engaging families is crucial for reinforcing learning at home and addressing any concerns that may arise."

Red flag: Candidate does not mention specific communication strategies, suggesting limited family engagement.


Q: "Describe a time when cultural sensitivity was important in family communication."

Expected answer: "While tutoring a diverse student group, I tailored communication to reflect cultural sensitivities, improving family satisfaction by 20%, according to feedback surveys. I ensure to respect cultural norms and use translators or bilingual resources when necessary. Building trust with families from varied backgrounds involves understanding and respecting their cultural perspectives. This sensitivity fosters a supportive learning environment and encourages family involvement in their child's education. Cultural sensitivity is vital for establishing effective communication and building strong, respectful relationships."

Red flag: Candidate fails to demonstrate awareness of cultural considerations, indicating potential for miscommunication.


Q: "What strategies do you use to address parents' concerns effectively?"

Expected answer: "I address parent concerns promptly by scheduling meetings and providing actionable feedback. In one instance, this approach resolved a grading dispute, improving parent-teacher satisfaction by 25%, as reflected in follow-up surveys. I listen actively and provide clear explanations, using data to support my points. By maintaining open, honest communication and demonstrating understanding, I can effectively address concerns and build trust. Addressing concerns proactively ensures a collaborative approach to supporting student success."

Red flag: Candidate is unable to articulate specific strategies for addressing concerns, indicating possible communication gaps.


Red Flags When Screening Tutors

  • Lacks state standards alignment — may struggle to create lessons that meet educational benchmarks and learning goals.
  • Poor classroom management skills — can lead to chaotic environments where learning is disrupted and ineffective.
  • No differentiation strategies — risks leaving diverse learners unengaged and unable to access content at their level.
  • Inadequate assessment design — might fail to identify student progress accurately, hindering data-driven instructional adjustments.
  • Weak family communication — can result in misunderstandings and lack of support for student learning outside the classroom.
  • Avoids technology integration — may miss opportunities to enhance learning through engaging and interactive edtech tools.

What to Look for in a Great Tutor

  1. Standards-based lesson planning — aligns lessons with state standards to ensure compliance and targeted educational outcomes.
  2. Effective classroom management — uses proactive strategies to maintain a focused and respectful learning environment.
  3. Strong differentiation skills — tailors instruction to meet diverse learning needs, fostering inclusive and accessible education.
  4. Robust assessment techniques — designs formative and summative assessments that guide instructional decisions and track progress.
  5. Cultural sensitivity in communication — engages families and guardians with respect, fostering a supportive learning community.

Sample Tutor Job Configuration

Here's exactly how a Tutor role looks when configured in AI Screenr. Every field is customizable.

Sample AI Screenr Job Configuration

Mid-Level Educational Tutor — K-12 Focus

Job Details

Basic information about the position. The AI reads all of this to calibrate questions and evaluate candidates.

Job Title

Mid-Level Educational Tutor — K-12 Focus

Job Family

Education

Focus on pedagogical methods, curriculum design, and student engagement — AI tailors questions to educational roles.

Interview Template

Educational Strategy Screen

Allows up to 4 follow-ups per question for deeper educational insights.

Job Description

We seek a mid-level tutor to support K-12 students in various subjects. You'll design engaging lessons, implement classroom management strategies, and communicate effectively with families and guardians.

Normalized Role Brief

Experienced tutor with 3+ years in K-12 education. Strong in lesson planning, student engagement, and family communication. Must adapt to diverse learning needs.

Concise 2-3 sentence summary the AI uses instead of the full description for question generation.

Skills

Required skills are assessed with dedicated questions. Preferred skills earn bonus credit when demonstrated.

Required Skills

Lesson PlanningClassroom ManagementDifferentiated InstructionAssessment DesignFamily Communication

The AI asks targeted questions about each required skill. 3-7 recommended.

Preferred Skills

Google ClassroomCanvasCommon Core StandardsNearpodKhan Academy

Nice-to-have skills that help differentiate candidates who both pass the required bar.

Must-Have Competencies

Behavioral/functional capabilities evaluated pass/fail. The AI uses behavioral questions ('Tell me about a time when...').

Curriculum Developmentadvanced

Ability to align lessons with standards and learning outcomes.

Classroom Managementintermediate

Proficient in maintaining a positive learning environment.

Cultural Sensitivityintermediate

Effective communication with diverse families and guardians.

Levels: Basic = can do with guidance, Intermediate = independent, Advanced = can teach others, Expert = industry-leading.

Knockout Criteria

Automatic disqualifiers. If triggered, candidate receives 'No' recommendation regardless of other scores.

Teaching Experience

Fail if: Less than 2 years of tutoring experience

Minimum experience required for effective student support.

Availability

Fail if: Cannot work evenings or weekends

Flexibility needed to accommodate student schedules.

The AI asks about each criterion during a dedicated screening phase early in the interview.

Custom Interview Questions

Mandatory questions asked in order before general exploration. The AI follows up if answers are vague.

Q1

Describe your approach to lesson planning for diverse learning styles.

Q2

How do you manage classroom behavior proactively? Provide a specific example.

Q3

Explain a time you adapted a lesson based on student assessment data.

Q4

How do you engage with families to support student learning?

Open-ended questions work best. The AI automatically follows up if answers are vague or incomplete.

Question Blueprints

Structured deep-dive questions with pre-written follow-ups ensuring consistent, fair evaluation across all candidates.

B1. How do you design assessments to inform instruction?

Knowledge areas to assess:

Formative vs. summative assessmentsData analysisInstructional adjustmentsStudent feedback

Pre-written follow-ups:

F1. Can you give an example of using assessment data to modify a lesson?

F2. How do you ensure assessments are culturally responsive?

F3. What tools do you use for assessment data tracking?

B2. How do you tailor instruction for students with varying abilities?

Knowledge areas to assess:

Differentiated instruction strategiesLearning style adaptationResource allocationProgress monitoring

Pre-written follow-ups:

F1. Describe a success story with differentiated instruction.

F2. How do you identify students' learning styles?

F3. What challenges do you face with differentiation, and how do you overcome them?

Unlike plain questions where the AI invents follow-ups, blueprints ensure every candidate gets the exact same follow-up questions for fair comparison.

Custom Scoring Rubric

Defines how candidates are scored. Each dimension has a weight that determines its impact on the total score.

DimensionWeightDescription
Educational Strategy Depth25%Depth of knowledge in educational planning and strategy.
Lesson Planning Skills20%Ability to design engaging and effective lessons.
Classroom Management18%Proficiency in maintaining a conducive learning environment.
Assessment Design15%Skill in creating assessments that inform instruction.
Family Engagement10%Effectiveness in communicating with families and guardians.
Cultural Sensitivity7%Ability to communicate effectively across cultures.
Blueprint Question Depth5%Coverage of structured deep-dive questions (auto-added)

Default rubric: Communication, Relevance, Technical Knowledge, Problem-Solving, Role Fit, Confidence, Behavioral Fit, Completeness. Auto-adds Language Proficiency and Blueprint Question Depth dimensions when configured.

Interview Settings

Configure duration, language, tone, and additional instructions.

Duration

40 min

Language

English

Template

Educational Strategy Screen

Video

Enabled

Language Proficiency Assessment

Englishminimum level: B2 (CEFR)3 questions

The AI conducts the main interview in the job language, then switches to the assessment language for dedicated proficiency questions, then switches back for closing.

Tone / Personality

Professional yet supportive. Encourage detailed responses, emphasizing real-world teaching scenarios and practical applications.

Adjusts the AI's speaking style but never overrides fairness and neutrality rules.

Company Instructions

We are a growing educational services company focused on K-12 tutoring. Emphasize adaptability to different learning environments and effective communication with families.

Injected into the AI's context so it can reference your company naturally and tailor questions to your environment.

Evaluation Notes

Prioritize candidates with strong lesson planning and classroom management skills. Look for proactive engagement with student learning challenges.

Passed to the scoring engine as additional context when generating scores. Influences how the AI weighs evidence.

Banned Topics / Compliance

Do not discuss salary, equity, or compensation. Do not ask about political views.

The AI already avoids illegal/discriminatory questions by default. Use this for company-specific restrictions.

Sample Tutor Screening Report

This is what the hiring team receives after a candidate completes the AI interview — a detailed evaluation with scores, evidence, and recommendations.

Sample AI Screening Report

Michael Thompson

78/100Yes

Confidence: 85%

Recommendation Rationale

Michael displays strong lesson planning and classroom management skills with effective use of Google Classroom. Needs improvement in differentiated instruction techniques, particularly for advanced learners. Recommend advancing with focus on instructional differentiation and formative assessment strategies.

Summary

Michael excels in lesson planning and classroom management, utilizing Google Classroom efficiently. While he shows promise in assessment design, his approach to differentiation, especially for advanced students, requires further development.

Knockout Criteria

Teaching ExperiencePassed

Has over 4 years of tutoring experience, meeting the requirement.

AvailabilityPassed

Can start within 3 weeks, meeting the availability criteria.

Must-Have Competencies

Curriculum DevelopmentPassed
90%

Aligns curriculum with state standards effectively using digital tools.

Classroom ManagementPassed
85%

Employs effective management techniques resulting in reduced disruptions.

Cultural SensitivityPassed
88%

Demonstrates strong cultural awareness in family engagement.

Scoring Dimensions

Educational Strategy Depthmoderate
7/10 w:0.20

Good depth in aligning lessons with state standards.

I align each lesson to Common Core standards, ensuring objectives are met using Google Classroom for resource distribution.

Lesson Planning Skillsstrong
8/10 w:0.25

Demonstrates effective lesson structuring and resource utilization.

I plan lessons using a backward design model, ensuring each activity supports the learning objectives, using tools like Nearpod and Kahoot.

Classroom Managementstrong
9/10 w:0.20

Excellent management with proactive routines.

I implement a behavior management system using ClassDojo, resulting in a 30% reduction in classroom disruptions.

Assessment Designmoderate
7/10 w:0.20

Solid formative assessment integration.

I use formative assessments weekly, like quizzes on Kahoot, to adjust instruction and provide feedback promptly.

Cultural Sensitivitystrong
8/10 w:0.15

Effectively incorporates cultural awareness in communication.

I engage families through culturally responsive newsletters and meetings, ensuring communication is accessible and inclusive.

Blueprint Question Coverage

B1. How do you design assessments to inform instruction?

formative assessmentsfeedback loopsdata-driven adjustmentspeer assessments

+ Uses weekly quizzes to adjust teaching strategies

+ Incorporates data from assessments into lesson planning

- Limited use of peer assessments

B2. How do you tailor instruction for students with varying abilities?

individualized learning plansuse of edtech toolsgroup differentiationadvanced learner strategies

+ Employs IXL for personalized practice

+ Differentiates group tasks based on ability

- Needs better strategies for advanced learners

Language Assessment

English: assessed at B2+ (required: B2)

Interview Coverage

82%

Overall

4/4

Custom Questions

85%

Blueprint Qs

3/3

Competencies

5/5

Required Skills

3/4

Preferred Skills

100%

Language

Coverage gaps:

Advanced learner differentiationPeer assessment techniques

Strengths

  • Effective use of Google Classroom for lesson alignment
  • Strong classroom management with proactive strategies
  • Integrates formative assessments into weekly plans
  • Culturally responsive communication with families

Risks

  • Limited differentiation for advanced learners
  • Minimal experience with peer assessment techniques
  • Focuses more on symptom-based rather than root-cause instruction

Notable Quotes

I use ClassDojo to track behavior, achieving a 30% reduction in disruptions.
Our weekly quizzes on Kahoot help me adjust lesson plans in real-time.
I use IXL to tailor math practice for each student's needs.

Interview Transcript (excerpt)

AI Interviewer

Hi Michael, I'm Alex, your AI interviewer for the Tutor position. Let's discuss your experience in education and tutoring. Ready to start?

Candidate

Absolutely, I've been tutoring for over 4 years, focusing on SAT and science subjects, primarily using Google Classroom for assignments.

AI Interviewer

Great, let's begin with assessment design. How do you design assessments to inform instruction in your sessions?

Candidate

I use tools like Kahoot for weekly quizzes to gauge understanding and adjust lessons, and Google Forms for more detailed feedback.

AI Interviewer

Interesting approach. How do you tailor instruction for students with varying abilities, especially advanced learners?

Candidate

I use IXL for personalized practice and differentiate group tasks, but I need to enhance strategies for advanced students.

... full transcript available in the report

Suggested Next Step

Advance to a practical demonstration session focusing on differentiated instruction techniques. Emphasize strategies for challenging advanced students and utilizing formative assessments to adapt lessons in real-time.

FAQ: Hiring Tutors with AI Screening

What topics does the AI screening interview cover for tutors?
The AI covers curriculum and lesson design, classroom management, differentiation and assessment, and family engagement. You can tailor the interview to focus on specific areas relevant to your educational goals and the needs of your students.
Can the AI differentiate between a tutor's theoretical knowledge and practical application?
Yes. The AI uses adaptive questioning to assess real-world application. If a tutor discusses lesson planning, the AI requests examples of past implementations, adjustments made for diverse learners, and how they measure success.
How does AI Screenr handle language diversity in tutor interviews?
AI Screenr supports candidate interviews in 38 languages — including English, Spanish, German, French, Italian, Portuguese, Dutch, Polish, Czech, Slovak, Ukrainian, Romanian, Turkish, Japanese, Korean, Chinese, Arabic, and Hindi among others. You configure the interview language per role, so tutors are interviewed in the language best suited to your candidate pool. Each interview can also include a dedicated language-proficiency assessment section if the role requires a specific CEFR level.
How does AI Screenr handle potential cheating or answer inflation?
The AI employs follow-up questions that require candidates to elaborate on their answers, focusing on specifics and real scenarios. This approach helps differentiate genuine experience from rehearsed or inflated responses.
What is the typical duration of a tutor screening interview?
Interviews typically last between 20 to 40 minutes, depending on the number of topics and depth of follow-up questions. For more details on customizing interview length, see our AI Screenr pricing plans.
How does AI Screenr compare to traditional tutor screening methods?
AI Screenr offers a more scalable, consistent, and unbiased assessment compared to traditional interviews. It provides structured feedback and a composite score, allowing for easier comparison across candidates.
Can AI Screenr assess tutors at different levels of expertise?
Yes, AI Screenr can be configured to assess tutors from entry-level to senior positions by adjusting the complexity of questions and scenarios based on the desired proficiency level.
Does AI Screenr integrate with our existing educational tools?
AI Screenr integrates seamlessly with platforms like Google Classroom and Canvas. For more details on integration and workflow, visit our screening workflow.
How does AI Screenr score and recommend tutor candidates?
Candidates receive a composite score from 0-100, along with structured rubric dimensions and a hiring recommendation (Strong Yes, Yes, Maybe, No), helping you make informed hiring decisions.
Can I include a language proficiency assessment in the tutor interview?
AI Screenr supports candidate interviews in 38 languages — including English, Spanish, German, French, Italian, Portuguese, Dutch, Polish, Czech, Slovak, Ukrainian, Romanian, Turkish, Japanese, Korean, Chinese, Arabic, and Hindi among others. You configure the interview language per role, so tutors are interviewed in the language best suited to your candidate pool. Each interview can also include a dedicated language-proficiency assessment section if the role requires a specific CEFR level.

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