**Experienced Part-Time Associate Data Analyst – Machine Learning Research Support**

Are you an analytical and detail-oriented individual with a passion for machine learning research? Do you have a knack for extracting key information from complex research papers and producing accurate estimates? We're seeking a highly skilled and motivated Associate Data Analyst to join our team at Epoch, an independent research organization producing world-class research on trends in Machine Learning and the economic consequences of AI. As a Part-Time Associate Data Analyst, you will play a vital role in supporting our machine learning research efforts by reading and analyzing recent machine learning papers, extracting key details, and producing estimates of training inputs based on limited information. Your work will be featured in Our World in Data, used in our future research, and inform international AI policy decisions through our stakeholders. **About Epoch** Epoch is an independent research organization dedicated to producing high-quality research on the trends and economic consequences of AI. Our work informs research and policy-making at leading institutions, including Anthropic, the Centre for the Governance of AI, the Centre for Data Ethics and Innovation, Open Philanthropy, and the Center for Security and Emerging Technology. Our research has been cited in media publications such as the MIT Technology Review and The Economist, and underpins Our World In Data's AI visualizations. **Key Responsibilities** As a Part-Time Associate Data Analyst, your key responsibilities will include: * Carefully reading assigned machine learning papers and identifying key information * Accurately extracting and compiling these technical details * Producing estimates of training inputs based on limited information * Completing assigned tasks within specified turnarounds, typically one batch per week * Meeting with the database manager weekly to report results and get new papers **What We're Looking For** We're seeking a highly skilled and motivated individual with the following qualifications and skills: * Ability to work independently and meet deadlines reliably * Attention to detail * Ability to systematically extract key information from research papers * Understanding of common machine learning concepts and applications * Experience reading and analyzing academic papers **What We Offer** As a Part-Time Associate Data Analyst, you will enjoy a competitive compensation package, including: * A default pay rate of $25-$30 USD per hour, estimated at 5-25 hours of work per week (more hours, up to full-time, will be considered) * A one-month independent contractor agreement renewed monthly * Compensation is not restricted to USD; payments may be made in different currencies and payment intervals depending on the location of applicants * The exact salary will be based on the candidate's prior relevant experience * Flexible work hours and location * Opportunities to grow/advance your career and engage in professional development * A caring team that values respectful work relations and a healthy work-life balance * Low administrative bureaucracy **Work Environment and Culture** As a remote worker, you will have the flexibility to work from anywhere in the world, with the ability to attend meetings during GMT-4 working hours. Our team is committed to building an inclusive, equitable, and supportive community for you to thrive and do your best work. We're committed to finding the best people for our team, so please don't hesitate to apply for a role regardless of your age, gender identity/expression, political identity, physical abilities, veteran status, neurodiversity, or any other background. **How to Apply** If you're ready for this challenge, apply now and let's discuss how you can become a vital part of our success story. Please submit your application materials in English, and note that we require professional-level English proficiency. We'll review applications on a rolling basis, and we'll try to accommodate extension requests. **Contact Us** If you have any questions or would like to learn more about this opportunity, please email us at [email protected]. We look forward to hearing from you! Apply for this job