Machine Learning Research Expert
This role is for researchers with hands-on ML research experience.
Hiring companyAfterQuery Experts
About the role
AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring machine learning researchers as contractors to author and solve the analysis problems those evaluations run on, drawn from your own research: experiment design, ablations, evaluation and model behavior. We're not looking for ML engineers focused on deployment, data engineers or data annotators. Fully remote and async, with no fixed hours.
Why Apply
- Work stays in your specialty and is judged on research judgment, not volume.
- Set your own hours and scale up or down week to week.
- Weekly pay via Stripe.
- Your judgment shapes how the next generation of AI handles machine learning research.
Responsibilities
- Author realistic ML research problems drawn from your own work: experiment design, ablations, evaluation and failure analysis.
- Work each problem through to a reference answer, with the reasoning behind every step.
- Catch the research mistakes that look reasonable but only a practitioner would spot.
Required skills
- Master's or PhD in computer science, statistics, mathematics or a related field.
- 3+ years of full-time ML research after your degree (a postdoc counts, PhD years don't).
- Hands-on experience designing experiments, running ablations or evaluating models.
- Strong Python and a deep learning framework such as PyTorch or JAX.
- Able to commit at least 10 hours per week.
Preferred skills
- Publications at venues such as NeurIPS, ICML, ICLR, ACL or CVPR.
- Experience at an industry research lab or university research group.
- Clear written English and comfort explaining a result step by step.
Schedule details
At least 10 hours per week.
Eligibility
Work arrangement: Fully remote
Compensation details
$115 per hour.
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