---
title: 'Data Scientist at Epoch AI'
canonical: 'https://feeny.ai/job/data-scientist-epoch-ai-remote-0s1wpwz0qx9c'
type: 'job'
last_seen: '2026-09-09'
---

# Data Scientist at Epoch AI

- **Company:** Epoch AI
- **Location:** Remote
- **Employment:** part-time
- **Work type:** remote
- **Posted:** 2025-12-22
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.lever.co/epoch-ai/ab88ba6e-6a92-44cc-8830-a2dafca31f1a

## Job description

Epoch is seeking part-time data scientists to assist with our AI research efforts. This role involves reviewing technical literature, tracking benchmark data, compiling technical infrastructure details, and analyzing various sources to build comprehensive insights about AI models, data centers, and companies.

## About the Position

This is an independent contractor role, and your main responsibility will be gathering data on the inputs, impacts, and details of AI, as well as carrying out analysis of the gathered data. This may consist of reading recent machine learning papers to extract key details about model architectures, tracking benchmark scores, processing satellite images and permits to track data centers, or analyzing financial disclosures as well as news media for information about AI companies. In terms of analysis, you will work with our research team to create Data Insights and other products.

Your day-to-day activities will be finding and reading a variety of sources, accurately extracting and compiling important details, and reporting on and discussing your findings with your supervisor. An ideal candidate for this role would have an excellent understanding of AI inputs and applications, careful attention to detail, and keen sense for the reliability of information sources. This is an excellent opportunity for those interested in a flexible role gaining exposure to cutting edge AI advancements and doing impactful work. Data you collect will be used in our future research and will inform international AI policy decisions.

This role is fully remote, and we can set up contracts in many countries. (Unfortunately, we are unable to offer contracts for this role to candidates working from China.) While we welcome applicants from all time zones, you will be expected to attend occasional meetings during most of UTC-7/8 (Pacific Time) working hours. This role is, by default, designed for flexible part-time hours, estimated at 15 to 30 hours per week. However, depending on each candidate's suitability, availability, and interest, more hours per week will be considered.

Successful candidates will report to a member of our research team determined by your interests and our open projects.

Applications are rolling. Please do not include a cover letter, photograph, or headshot of yourself, or any personal information that is not relevant to the role for which you’re applying.

## Key Responsibilities

- Carefully parsing assigned machine learning papers or benchmark leaderboards and identifying key information.
- Accurately extracting and compiling these technical details.
- Producing informed estimates of metrics about the physical infrastructure supporting AI based on limited information.

## What We Are Looking For

- Ability to work independently and meet deadlines reliably.
- Attention to detail.
- Ability to systematically extract key information from a variety of sources.
- Understanding or interest in a broad array of technical AI topics, especially model evaluations and data centers.

## Compensation & Benefits

- Hourly compensation between $30-40 USD, estimated at 10–30 hours of work per week, depending on your availability (more hours, up to full-time, will be considered). Wages are not restricted to USD, and contracts and payments are usually in local currencies. Conversions are based on average exchange rates.
- Flexible work hours in a fully remote environment.

Additional Information While we welcome applicants from all time zones, we prefer candidates who can overlap with UTC–7/8 (Pacific Time), and may not be able to provide sufficient management support for candidates west of PT or east of GMT.

Please submit all of your application materials in English and note that we require professional level English proficiency.

Epoch AI is committed to building an inclusive, equitable, and supportive community for you to thrive and do your best work. Please don’t hesitate to apply for a role regardless of your age, gender identity/expression, political identity, personal preferences, physical abilities, veteran status, neurodiversity or any other background. Please email careers@epoch.ai if you have any questions about this role, accessibility requests, or if you want to request an extension to the application deadline. However, we will not review applications submitted to this email address; please submit your application through the link on this page.

## About Epoch AI

Epoch AI is a research institute that investigates trends in machine learning and the economic consequences of AI. Our mission is to develop a comprehensive, publicly accessible knowledge base on AI that informs policymakers, industry leaders, and society at large. We strive to achieve both rigor and accessibility to our work, as exemplified by some of our most successful projects, including our database of AI models and our AI trends dashboard. Our body of research includes our work on compute trends (IJCN 2022), data scarcity (ICML 2024), and algorithmic progress (NeurIPS 2024). You can read more about our work and mission on our website and in this Time profile.

## About Epoch AI

## Company Overview
- **One-liner**: Epoch AI is a data-first research nonprofit that investigates the trajectory, progress, and impact of artificial intelligence through empirical analysis, open databases, and independent model benchmarks.
- **Entity Type**: Private nonprofit research organization (relies on philanthropic funding and mission-aligned paid services)
- **Headquarters**: Remote-first, global team; some roles listed in the Bay Area. No single public headquarters specified.
- **Founded**: 2021 (began as a group of volunteers; formally organized as Epoch AI following the success of their 2022 training-compute paper)
- **Founders**: Not publicly available in the sources reviewed

## Core Business
- **Primary industry**: AI research, data analytics, benchmarking, and policy-oriented intelligence
- **Target customers**: Policymakers, journalists, AI developers, researchers, government agencies, large AI companies, nonprofits, and organizations affected by AI (including hardware, energy, and investment firms)
- **Mission**: "To improve society's understanding of the drivers, progress, and impact of artificial intelligence" — building a shared scientific foundation for thinking about AI, neutral to any specific agenda, so decisions about the technology are informed by the best available data

## Products & Services
- **FrontierMath**: A state-of-the-art private benchmark for testing frontier mathematical capabilities of AI models, commissioned by OpenAI. Epoch AI also runs pilots for software engineering and remote-work benchmarks.
- **AI Model Evaluations**: Independent, regular evaluations of publicly available models across domains, published on a public dashboard to illustrate capability trends.
- **AI Trend Databases**: Open-source intelligence program tracking AI models, training compute estimates, ML hardware, GPU clusters, AI data centers, and investment — the foundation of their research and public explainers.
- **Commissioned Research & Consulting**: Paid, mission-aligned services for companies, nonprofits, and government bodies, including data collection, benchmark development, model evaluations, and private strategic reports (e.g., compute trend analysis for UK ARIA, biological sequence model analysis for Sentinel Bio).
- **Interactive Visualizations & Explainers**: Public tools and analyses that distill complex AI trends into accessible formats for a broad audience.

## Market Standing
- **Valuation/Market Cap**: Not applicable — independent nonprofit; not disclosed
- **Key Metric**: Total funding not publicly disclosed; supported by philanthropic donations, revenue from commissioned research, and public-good funding
- **Notable Partners/Clients**: OpenAI, Google, Stanford's AI Index, UK Department for Science, Innovation & Technology (DSIT), UK ARIA, Sentinel Bio, Electric Power Research Institute
- **Growth Signals**: Grew from a volunteer collective (2021) into a multidisciplinary, global team; authored one of the most-cited papers in the field, *Compute Trends Across Three Eras of Machine Learning*; gained recognition for FrontierMath; expanded into model evaluations and public dashboards; routinely engaged by major AI labs and government agencies

## Competitive Advantages
- **Neutral, data-first approach**: Explicitly non-partisan and "agenda-free," producing evidence that serious AI discussions start from — a differentiator in a hype-heavy field
- **Pioneering compute-trend tracking**: Among the first to systematically monitor AI training compute, inference-compute scaling, and scaling feasibility through 2030
- **Trusted by both sides**: Works with frontier AI labs (OpenAI, Google) and government bodies (UK DSIT, UK ARIA), indicating credibility across industry and policy
- **Open by default**: Publishes most research and data publicly, building a compounding reputation and research ecosystem
- **FrontierMath benchmark**: The state-of-the-art benchmark for frontier math capabilities, giving Epoch AI unique leverage in model evaluation

## Strategic Focus
- Tracking AI capabilities over time and maintaining independent evaluations of new models
- Investigating the drivers and bottlenecks of AI progress, including whether scaling can continue through 2030 and the feasibility of decentralized training
- Measuring and forecasting AI's economic and societal impact (e.g., automation of remote work, economy-wide modeling)
- Expanding benchmark development and partnerships with AI companies, governments, and adjacent sectors (energy, hardware, investment)
- Building out the public dashboard and interactive tools to make research accessible

## Why Work Here
- **Remote-first, global team**: Roles are listed as full-time or part-time remote, with some positions in the Bay Area — flexibility across research, engineering, and operations
- **Mission-driven work**: Directly contribute to society's understanding of AI, with a "curiosity-driven" and multidisciplinary culture
- **High-impact exposure**: Work alongside researchers, engineers, and policymakers shaping AI discourse; past partners include OpenAI and UK DSIT
- **Culture**: The team explicitly values caring for each other and taking wellbeing seriously; transparency and open communication are core principles
- **Variety of roles**: Openings span research (Data Scientist, Researcher), engineering (Software Engineer, Benchmarking), operations (People Ops, IT & Security), and communications — plus rolling expressions of interest for interdisciplinary talent

## Sources
1. [epoch.ai](https://epoch.ai/)
2. [epoch.ai/about](https://epoch.ai/about)
3. [epoch.ai/about/careers](https://epoch.ai/about/careers)
4. [epoch.ai/latest/what-is-epoch](https://epoch.ai/latest/what-is-epoch)
5. [jobs.lever.co/epoch-ai](https://jobs.lever.co/epoch-ai)

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- [IT and Security Specialist](https://feeny.ai/job/it-and-security-specialist-epoch-ai-remote-bgjrekpdryb4)
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