Job Title: AI Tutor, Machine Learning Engineer Specialist

Position Overview

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.

Employment Type

• Contract

Location Type

• Remote

Compensation

• $75/hr - $120/hr

Responsibilities

• 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.

Requirements

• Education: 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).
• Technical Skills:
  • 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.
• Communication: Excellent written communication skills—both technical and explanatory writing.
• Work Style: Ability to operate independently with sound judgment under ambiguous conditions.
• Passion: 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.
• Device Requirements: Personal device must support Windows 10 or macOS Big Sur 11.0 or later.
• Connectivity: Reliable access to a smartphone.

Work Expectations & Location

• This is a fully remote position.
• The services to be provided by the Contractor under this agreement are supplementary and not integral to Handshake’s primary business operations. The Contractor’s services are distinct and separate from the core business activities of Handshake.
• No visa sponsorship is available.
• Not hiring in Wyoming or Illinois at this time.

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 experts.