First seen by our source: 20 days ago
Data Science Expert - Evaluation Specialist
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a remote contract Data Science Expert at $120 to $170 per hour to score data science deliverables for AI research labs. The work involves designing grading criteria and writing evidence-based justifications for scores on analyses, models, dashboards and experiment readouts. The role requires 5+ years of industry data science experience and strong written communication.
Pay:
$120–$170 an hour
Responsibilities:
- Design grading criteria for data science deliverables
- Score AI-generated and human work samples with written justifications
- Apply consistent, evidence-based judgment to ensure reproducible scores
- Incorporate feedback from senior reviewers
- Collaborate with AI research teams on training data quality
Requirements summary:
- 5+ years of professional data science experience in industry
- Background in business operations, product or growth data science at top-tier tech companies
- Deep fluency in experiment design, A/B testing, SQL and Python analysis
- Exceptionally strong written communication
- Detail-oriented and comfortable with peer calibration
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-17
- Source record updated
- 2026-10-17
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Experience | 5+ years |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mercor
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Full company description
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- LinkedIn followers
- 654,507
- People associated on LinkedIn
- 5,250
- Reported office locations
- San Francisco, California 94105, US
- Business categories
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Mercor
- Profile identifies a recruitment agency
- Yes
- Reported total investment
- 483,600,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 1,626 |
| View page |
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: Data Science Expert
Type: Contract
Compensation: $120–$170/hour
Location: Remote
Role Responsibilities
- Design precise, task-specific grading criteria for real-world data science deliverables, including analyses, models, dashboards, and experiment readouts.
- Score AI-generated and human work samples against established criteria with detailed, well-reasoned written justifications.
- Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
- Incorporate structured feedback from senior reviewers and iterate quickly on your work.
- Collaborate with AI research teams to improve training data quality and downstream performance.
Qualifications
Must-Have
- 5+ years of professional data science experience in industry.
- Background in business operations, product, or growth data science at top-tier technology companies.
- Deep fluency in experiment design, A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.
- Exceptionally strong written communication.
- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers.
Preferred
- Prior experience with AI training, evaluation, or human-data projects.
Application Process (Takes 20–30 mins to complete)
- Submit your resume or relevant technical background to get started.
- Qualified applicants may be asked to complete a brief technical assessment or submit additional information.
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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