Machine Learning Engineer
Mercor · United States
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Expert Professionals — AI & Data Science
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 40 hours/week
Role Responsibilities
Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning.
Design challenging agentic tasks rooted in real-world ML , data science , data engineering , and software workflows. Write accurate, well-documented solutions that serve as ground truth.
Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality.
Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks.
Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
Qualifications
Must-Have
3+ years of research, academic, or industry experience in Machine Learning , Data Science , Software Engineering , Computer Science , Statistics , Biology , Electrical/Mechanical/Civil Engineering , Physics , Chemistry , Mathematics , Materials Science , or other STEM background.
Demonstrated technical expertise in programming, data analysis, ML modeling , statistical methods, or computational methods.
Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
Strong written communication skills and the ability to explain technical decisions clearly.
Preferred
Prior experience with data annotation, labeling, evaluation, or human feedback collection.
Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a machine learning engineer actually earnsmedian, seniority, by country
- Careers a machine learning engineer can move intoevery measured route out
- Data Scientist → Machine Learning Engineer54% readiness
- All open machine learning engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a machine learning engineer’s profile already covers.
- 357 open data scientist roles69% readiness from machine learning engineer
- 234 open ai engineer roles58% readiness from machine learning engineer
- 6 open conversation designer roles57% readiness from machine learning engineer
- 21 open mlops engineer roles46% readiness from machine learning engineer
More machine learning engineer roles
- Senior Machine Learning Engineer II, Ads Response PredictionName · United States
- Senior AI/ML EngineerOvert Minds · United States
- Senior Deep Learning EngineerSumerSports LLC · United States
- Senior Machine Learning Engineer / Data ScientistBloomreach · Czechia
- Senior Machine Learning EngineerOpenTeams · United States
Backfilled listing, refreshed with the nightly scrape; the employer has not claimed it yet. Are you the employer? Claim this listing and it can be featured to the candidates whose skills already reach it, first month free.