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Offline Tutor Jobs (NOW HIRING)

Quizlet

Applied AI Engineer

Seattle, WA · On-site

Generative AI & Agentic Systems - LLMpowered tutoring, content understanding/synthesis, and tools ... Solid experiment design (offline/online), metrics literacy, and ability to translate product goals ...

Quizlet

Applied AI Engineer

Denver, CO · On-site

Generative AI & Agentic Systems - LLMpowered tutoring, content understanding/synthesis, and tools ... Solid experiment design (offline/online), metrics literacy, and ability to translate product goals ...

Think Academy US

Part Time Evaluation Teacher

Irvine, CA · On-site

$20 - $25/hr

Each week, more than 6 million students are enrolled in TAL's online and offline education platform ... Prior tutoring or teaching experience preferred * Must be available at least 10-15 hours per week

Think Academy US

Evaluation Teacher

Irvine, CA · On-site

$20 - $25/hr

Each week, more than 6 million students are enrolled in TAL's online and offline education platform ... Prior tutoring or teaching experience preferred * Must be available at least 10-15 hours per week

Think Academy US

Evaluation Teacher

Irvine, CA · On-site

$20 - $25/hr

Each week, more than 6 million students are enrolled in TAL's online and offline education platform ... Prior tutoring or teaching experience preferred * Must be available at least 10-15 hours per week

Think Academy US

Evaluation Teacher

Irvine, CA

$20 - $25/hr

Each week, more than 6 million students are enrolled in TAL's online and offline education platform ... Prior tutoring or teaching experience preferred * Must be available at least 10-15 hours per week

Think Academy US

Part Time Evaluation Teacher

Irvine, CA · On-site

$20 - $25/hr

Each week, more than 6 million students are enrolled in TAL's online and offline education platform ... Prior tutoring or teaching experience preferred * Must be available at least 10-15 hours per week

Quizlet

Applied AI Engineer

Denver, CO · On-site

Generative AI & Agentic Systems - LLM-powered tutoring, content understanding/synthesis, and tools ... Solid experiment design (offline/online), metrics literacy, and ability to translate product goals ...

Mind Rift

Freelance AI Red Team Engineer

San Antonio, TX · Remote

$65/hr

As an AI Tutor in Coding, you will collaborate on projects that involve: Responsibilities Evaluate ... Create offline reproducible & auto‐evaluable test cases to test safety & capability of AI agents.

Think Academy US

Math Content Teacher

San Jose, CA

$90K/yr

Each week, more than 6 million students are enrolled in TAL's online and offline education platform ... Previous experience teaching or tutoring students. * Passionate about the education industry, and ...

Think Academy US

Math Content Teacher

San Jose, CA · On-site

$90K/yr

Each week, more than 6 million students are enrolled in TAL's online and offline education platform ... Previous experience teaching or tutoring students. * Passionate about the education industry, and ...

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How much do offline tutor jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for offline tutor in the United States is $19.28, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $22.84 per hour, depending on experience, location, and employer.

What is an Offline Tutor job?

An Offline Tutor is an educator who provides in-person academic support to students in various subjects. They work in homes, tutoring centers, or schools to help learners grasp concepts, complete assignments, and prepare for exams. Unlike online tutors, they engage with students face-to-face, using physical materials and direct interaction. Offline tutors may work independently or as part of an institution, adapting lessons to meet individual learning needs. Their goal is to enhance students' understanding and performance in specific subjects.

What are the key skills and qualifications needed to thrive in the Offline Tutor position, and why are they important?

Offline Tutors require a strong subject matter expertise, relevant academic qualifications, and prior teaching or tutoring experience. Familiarity with educational resources, printed materials, and, in some cases, basic technology like projectors or whiteboards is helpful. Excellent interpersonal skills, patience, and the ability to adapt teaching methods to individual learning styles make tutors stand out. These abilities ensure effective knowledge transfer, student engagement, and positive learning outcomes in a one-on-one or small group setting.

What are the typical work hours and scheduling expectations for an Offline Tutor?

Offline Tutors often work part-time or on a flexible schedule, with sessions typically arranged during afternoons, evenings, or weekends to accommodate students’ availability. While some tutors may operate independently, others work through educational centers with set hours or assigned students. Being adaptable and responsive to students’ needs is important, as schedules can change based on academic demands or exam periods. This flexibility allows tutors to balance multiple clients or responsibilities while providing effective, personalized support.
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Offline Tutor jobs near you
Applied AI Engineer

Applied AI Engineer

Quizlet

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

About Quizlet:

At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We're a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week.

We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools.

Let's Build the Future of Learning
Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.

About the Team (Applied AI):

Our mission is to invent and deploy the next generation of intelligent, personalized, and adaptive learning experiences. We're consolidating AI efforts across the company into a unified portfolio and are accountable for a disproportionate share of Quizlet's growth and product differentiation. You'll partner closely with Product, Data Science, and the AI & Data Platform to deliver an AIdriven learning coach that's recognized as bestinclass.

About the Role:

We are looking for Applied AI Engineers at Staff and Sr. Staff levels (note: leveling decisions will be made during the interview process).  

You'll be working at the forefront of our AI strategy, shaping Quizlet's AI development in one of the two complementary domains:

Personalization & Ranking - retrieval and ranking systems that match learners with the right content, experiences, and monetization moments across surfaces (search, feed, notifications, ads).

Generative AI & Agentic Systems - LLMpowered tutoring, content understanding/synthesis, and tools that boost learner outcomes and creator productivity.

You will work on a variety of models and modeling systems (from TwoTower retrieval and multitask rankers to RAG/LLM pipelines), ensure robust evaluation, and responsible deployment

We're happy to share that this is an onsite position in either our Denver, San Francisco, Seattle, or NYC. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.
In this role, you will:
  • Contribute to the technical roadmap for applied AI across personalization, ranking, search, recommendations, and GenAI/LLM systems; help connect modeling work to business metrics (engaged learners, conversion, retention, revenue)
  • Build components of endtoend ML systems: candidate sourcing, embedding platforms & ANN retrieval, multistage ranking (early/late), and value modeling with guardrails for fairness and integrity
  • Implement LLMbased features: build RAG pipelines, apply instruction/preferencetuning techniques (e.g., SFT/DPO), optimize prompts, and improve latency/costaware inference; contribute to offline evals + humanintheloop and online success metrics
  • Help develop "Learner 360" representations by working with behavior signals, explicit inputs, and conversational context to create robust embeddings reused across surfaces
  • Support evaluation infrastructure: contribute to the eval harness for both ranking and generative systems (offline metrics like NDCG/AUC/BLEU/BERTScore; quality/safety scorecards), and help close the loop with online A/B experiments
  • Ship reliable systems at scale: ensure trainingserving consistency, implement drift detection, follow canarying/rollback protocols, participate in oncall rotation for model services, and maintain strong CI/CD for features & models
  • Collaborate with and learn from senior ML/SWE teammates; write highquality code and follow best practices for experimentation rigor and reproducibility
  • Work closely with Product, Design, Legal, and Data Science on objectives, tradeoffs, and responsible AI practices
  • Stay current with ML research (RecSys, LLMs, multimodal) and propose new methods that could improve learner outcomes
What you bring to the table:
  • 6+ years of industry experience in applied ML/AI or MLheavy software engineering
  • BS/MS in CS, ML, or related quantitative field (or equivalent experience)
  • Experience building ranking/personalization or search systems (retrieval, TwoTower/dual encoders, multitask rankers) and contributing to online metric improvements (e.g., CTR, session depth, retention)
  • Handson experience with LLM/GenAI systems: data curation, finetuning (SFT/PEFT, preference optimization), prompt engineering, evaluation, and productionization considerations (latency/cost/safety)
  • Strong skills in Python/PyTorch, data and feature engineering, distributed training/inference on GPUs, and familiarity with modern MLOps (model registry, feature stores, monitoring, drift)
  • Solid experiment design (offline/online), metrics literacy, and ability to translate product goals into modeling solutions
  • Strong collaboration skills and eagerness to learn from senior engineers; some experience mentoring junior teammates is a plus
Bonus points if you have:
  • EdTech or consumer mobile experience; conversational tutoring or learning scienceinformed modeling
  • Publications/opensource with RecSys/LLMs (e.g., RecSys, KDD, NeurIPS, ICLR, ACL), or contributions to safety/guardrails tooling
  • Experience building on a modern MLOps stack (feature mgmt, orchestration, streaming, online inference at scale)
Compensation, Benefits & Perks:
  • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps.  Total compensation for this role is market competitive, including a starting base salary of $178,000 - $316,000 depending on location and experience, as well as company stock options
  • Collaborate with your manager and team to create a healthy work-life balance
  • 20 vacation days that we expect you to take!
  • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
  • Employer-sponsored 401k plan with company match
  • Access to LinkedIn Learning and other resources to support professional growth
  • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
  • 40 hours of annual paid time off to participate in volunteer programs of choice
Why Join Quizlet?

  Massive reach: 60M+ users, 1B+ interactions per week
  Cutting-edge tech: Generative AI, adaptive learning, cognitive science
  Strong momentum: Top-tier investors, sustainable business, real traction
  Mission-first: Work that makes a difference in people's lives
  Inclusive culture: Committed to equity, diversity, and belonging


We strive to make everyone feel comfortable and welcome!
We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.

We provide a transparent setting that gives a comprehensive view of who we are!  

In Closing:

At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together."

Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. 

As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

To All Recruiters and Placement Agencies:

At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. 
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.
#LI-onsite
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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