Red Pen Jobs
Search roles

Data Scientist Talent Network

Listed pay: $100to 150 / hr

What the posting lists, in US dollars an hour, before anything Mercor deducts.

10 openings on this one listing.

How to apply
Platform
Mercor
Terms
Contract, part-time
Location
Remote, no country stated
Posted
· 1 month ago
Status
Open at the last check

Applying on Mercor

Apply on Mercor

If you're hired through a link here and start paid work, Mercor pays this site a referral fee. Your pay is unaffected.

Red Pen Jobs is independent. We are not affiliated with, endorsed by, or acting for Mercor in any way, and we do not recruit on its behalf.

What happens after you click

  1. The link opens this role on Mercor. Sign up and apply from there.
  2. Upload a resume, complete the assessments the role asks for and verify your work authorisation.
  3. An AI interview of about 20 minutes. Mercor says it usually takes 2 to 4 weeks to hear back.
  4. If Mercor hires you, you are paid weekly, on the Wednesday after each work week, via Stripe. Mercor says first payouts are held for 7 days.
  5. The work is paid by the hour, at the $100–150 this posting lists.
  6. Remote. The posting names no country, so we have not assumed one applies.

What the work is

Mercor is building a network of experienced data scientists for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world data science work.

There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available.

2. Potential Responsibilities

Future projects may involve:

  • Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and technical reports or notebooks

  • Evaluating AI-generated or human-created work against established criteria

  • Providing detailed written justifications for evaluations and scores

  • Applying consistent, evidence-based judgment so that assessments are reproducible and defensible

  • Incorporating structured feedback from senior reviewers and iterating on submitted work

Specific responsibilities will vary depending on the project.

3. Ideal Qualifications

  • 1+ years of professional data science experience

  • Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent)

  • Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference, and translating messy real-world data into rigorous analyses

  • Exceptional written communication skills, including the ability to convey technical findings clearly

  • A detail-oriented and consistent approach to evaluating complex work

  • Comfort receiving feedback and calibrating judgment against established standards

From the Mercor listing.

More roles for machine learning engineers

Every role we hold for machine learning engineers