Edtech.com's Summary

Handshake is hiring an AI Tutor, ML Engineer Specialist (contract). This role involves contributing to the development of AI models by reviewing and refining outputs from large language models, ensuring they meet high standards of accuracy and relevance. The position requires collaboration with AI teams to enhance data patterns and identify model blind spots, utilizing expertise in machine learning and data science.

Highlights

Evaluate and improve AI-generated outputs in technical and scientific domains.
Contribute to dataset curation and refinement for AI/ML models.
Collaborate with AI teams to identify data patterns and model challenges.
MS or PhD in a relevant technical field, or 3+ years of experience in ML or Data Science.
Strong understanding of machine learning concepts and model evaluation strategies.
Experience with large language models (LLMs) and NLP systems.
Compensation: $40/hr - $70/hr.
Ability to work with evolving model behaviors and guidelines.

AI Tutor, ML Engineer Specialist (contract), Handshake AI Full Description

Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.

Your impact

As an AI Tutor, Machine Learning Engineer Specialist, you will contribute to the next generation of AI models by reviewing and refining outputs generated by cutting-edge large language models (LLMs). You'll apply your expertise in machine learning, data science, and technical domains to ensure model outputs meet high standards of technical accuracy, relevance, and consistency. This role blends analytical thinking with hands-on data quality work and research-grade insight into model evaluation and improvement.

This is a contract remote position with variable time commitments. The services to be provided by the Contractor under this agreement are supplementary and not integral to the Handshake’s primary business operations. The Contractor’s services are distinct and separate from the core business activities of Handshake.

Your role

Use internal tools to evaluate and critique AI-generated outputs, primarily in technical and scientific domains.
Review complex model responses and suggest improvements with a focus on clarity, correctness, and domain relevance.
Contribute to the curation and refinement of datasets used to train and fine-tune AI/ML models.
Work closely with cross-functional AI teams to identify data patterns, edge cases, and model blind spots.
Stay up-to-date on model behaviors and guidelines as they evolve, applying judgment to nuanced annotation tasks.

Your experience

MS or PhD in Computer Science, Machine Learning, Data Science, or a closely related technical field.
Alternatively, 3+ years of professional experience as a Machine Learning Engineer or Data Scientist at a high-caliber company (e.g., FAANG, leading startups, AI labs).
Strong grasp of core machine learning concepts, model training workflows, and evaluation strategies.
Experience with LLMs, NLP systems, or applied ML in production settings is highly desirable.
Ability to assess complex technical information and provide constructive, detail-oriented feedback.
Excellent written communication skills—both technical and explanatory writing.
Ability to operate independently with sound judgment under ambiguous conditions.
Passion for AI development, data quality, and technological advancement.

Bonus areas of expertise

Publications in machine learning, AI, or computer science journals/conferences.
Experience working with human feedback loops in ML systems (e.g., RLHF, data annotation, model alignment).
Teaching, mentoring, or technical writing experience in ML or related technical domains.
Exposure to generative AI applications or prompt engineering.

Additional Requirements

Availability to work evenings and weekends as needed.
Ability to quickly adapt to new skills and evolving requirements.
Personal device must support Windows 10 or macOS Big Sur 11.0 or later.
Reliable access to a smartphone.

Location & Work Expectations

Fully remote position.
No visa sponsorship available.
Not hiring in Wyoming or Illinois at this time.

Compensation range

$40/hr - $70/hr

For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.

About us

Handshake is building the future of human data for AI.

We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.

Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.

We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.

Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

Original Job Description

Your impact

Your role

Use internal tools to evaluate and critique AI-generated outputs, primarily in technical and scientific domains.
Review complex model responses and suggest improvements with a focus on clarity, correctness, and domain relevance.
Contribute to the curation and refinement of datasets used to train and fine-tune AI/ML models.
Work closely with cross-functional AI teams to identify data patterns, edge cases, and model blind spots.
Stay up-to-date on model behaviors and guidelines as they evolve, applying judgment to nuanced annotation tasks.

Your experience

MS or PhD in Computer Science, Machine Learning, Data Science, or a closely related technical field.
Alternatively, 3+ years of professional experience as a Machine Learning Engineer or Data Scientist at a high-caliber company (e.g., FAANG, leading startups, AI labs).
Strong grasp of core machine learning concepts, model training workflows, and evaluation strategies.
Experience with LLMs, NLP systems, or applied ML in production settings is highly desirable.
Ability to assess complex technical information and provide constructive, detail-oriented feedback.
Excellent written communication skills—both technical and explanatory writing.
Ability to operate independently with sound judgment under ambiguous conditions.
Passion for AI development, data quality, and technological advancement.

Bonus areas of expertise

Publications in machine learning, AI, or computer science journals/conferences.
Experience working with human feedback loops in ML systems (e.g., RLHF, data annotation, model alignment).
Teaching, mentoring, or technical writing experience in ML or related technical domains.
Exposure to generative AI applications or prompt engineering.

Additional Requirements

Availability to work evenings and weekends as needed.
Ability to quickly adapt to new skills and evolving requirements.
Personal device must support Windows 10 or macOS Big Sur 11.0 or later.
Reliable access to a smartphone.

Location & Work Expectations

Fully remote position.
No visa sponsorship available.
Not hiring in Wyoming or Illinois at this time.

Compensation range

$40/hr - $70/hr

About us

Handshake is building the future of human data for AI.

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AI Tutor, ML Engineer Specialist (contract), Handshake AI

Edtech.com's Summary

AI Tutor, ML Engineer Specialist (contract), Handshake AI Full Description

Your impact

Your role

Your experience

Bonus areas of expertise

Additional Requirements

Location & Work Expectations

Compensation range

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