This one is closed
Live roles like this one
-
C
5h ago
Talan United Kingdom
-
D
5h ago
Ergomed Spain
-
D
9h ago
Digital Science United States
-
B
9h ago
Upstart Anywhere in the World Salary Range $141,000
See every "Data Science Specialist" role →
Get new “Data Science Specialist” roles by email
One email a day with what is new in "Data Science Specialist". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Why this grade This listing scored 39/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
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 such as analyses, models, dashboards, and experiment readouts.
- Score AI-generated and human work samples against criteria with detailed written justifications for every score.
- Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
- Incorporate structured feedback from senior reviewers and iterate quickly on your work.
- Work independently and asynchronously to meet deadlines while improving AI model 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 and 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:
- 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
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 13 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.