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 will 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.
You will use internal tools to evaluate and critique AI-generated outputs, primarily in technical and scientific domains.
Your responsibilities include reviewing complex model responses and suggesting improvements with a focus on clarity, correctness, and domain relevance.
You will contribute to the curation and refinement of datasets used to train and fine-tune AI/ML models.
You will work closely with cross-functional AI teams to identify data patterns, edge cases, and model blind spots.
Staying up-to-date on model behaviors and guidelines as they evolve is essential, applying judgment to nuanced annotation tasks.
This is a contract remote position with variable time commitments, and the services provided are supplementary to Handshake’s primary business operations.
Requirements:
A Master's or PhD in Computer Science, Machine Learning, Data Science, or a closely related technical field is required.
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) is acceptable.
A strong grasp of core machine learning concepts, model training workflows, and evaluation strategies is necessary.
Experience with LLMs, NLP systems, or applied ML in production settings is highly desirable.
You must have the ability to assess complex technical information and provide constructive, detail-oriented feedback.
Excellent written communication skills—both technical and explanatory writing—are required.
The ability to operate independently with sound judgment under ambiguous conditions is essential.
A passion for AI development, data quality, and technological advancement is expected.
Availability to work evenings and weekends as needed is required.
You must be able to quickly adapt to new skills and evolving requirements.
A personal device must support Windows 10 or macOS Big Sur 11.0 or later.
Reliable access to a smartphone is necessary.
Benefits:
The compensation range for this position is $40/hr - $70/hr, with final offer amounts determined by multiple factors, including geographic location and candidate experience.
Handshake is committed to providing reasonable accommodations in recruitment processes for candidates with disabilities or other protected reasons.
