Data Scientist Talent Network (Train AI Models Part Time

Mercor, Inc.
United States
4 days ago
Apply on find.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Python (Programming Language) Machine Learning SQL Databases Feature Engineering Machine Learning Operations

Job description

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role.

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.

  1. 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

Requirements

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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on find.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

Videos

See all

Related articles

See all