Machine Learning Evaluation Specialist (Remote)
List of accepted countries and locations
This a Full Remote job, the offer is available from: United States, Turkey, Greece, Estonia, Latvia, North Macedonia, Hungary, Bulgaria, Albania, Poland, Romania, Kosovo, Portugal, Spain, Malta, United Kingdom, Austria, Belgium, Germany, Ireland, France, Slovakia, Czechia, Italy, Montenegro, Bosnia and Herzegovina, Paraguay, Uruguay, Brazil, Dominican Republic, Venezuela, Ecuador, Colombia, Argentina, Chile, Bolivia, Peru, Mexico, Puerto Rico, Canada, Serbia, Arizona (USA), California (USA), Colorado (USA), Delaware (USA), District of Columbia (USA), Florida (USA), Georgia (USA), Idaho (USA), Illinois (USA), Indiana (USA), Louisiana (USA), Nevada (USA), North Carolina (USA), Ohio (USA), Oklahoma (USA), Pennsylvania (USA), Tennessee (USA), Texas (USA), Virginia (USA), Washington (USA)
Important for US applicants
This is a 1099 independent contractor role and is not compatible with F-1 OPT, STEM OPT, or other visa statuses that require W-2 employment, guaranteed hours, or employer sponsorship. We are unable to provide offer letters or employment verification for this role.
Overview
Help design the hardest ML problems state-of-the-art AI hasn't solved yet.
We're hiring domain experts to build evaluation tasks that challenge the frontier of AI. This is not an ML engineering role — it's a research role. You'll use deep expertise in your field to create problems that general ML knowledge can't touch.
What you'll do
- Propose and frame original, research-grade ML problems rooted in your domain
- Design evaluation tasks that require specialized knowledge well beyond standard pipelines
- Assess AI-generated solutions for correctness, creativity, and methodological rigor — and explain exactly where and why they fall short
- Document problem difficulty, required domain knowledge, and expected failure modes
What you need
- Graduate-level expertise (MS or PhD preferred) in a scientific or technical domain that intersects with ML
- Strong working knowledge of ML methods — model selection, feature engineering, evaluation metrics
- Deep familiarity with active research problems in your field — you know where general ML knowledge runs out
- Excellent written communication — you can articulate complex problems clearly and precisely. This cannot be overstated.
- Self-motivated and comfortable working independently on intellectually demanding tasks
What you don't need
- No prior AI training or RLHF experience required
- No software engineering background needed — domain expertise and research instincts are what matter
Domains we're especially looking for
- Computational Biology / Bioinformatics
- Genomics / Molecular Biology
- Physics / Astrophysics / Signal Processing
- Climate / Environmental Modeling
- Healthcare / Medical Imaging
- Neuroscience / Brain-Computer Interfaces
- Materials Science / Chemistry
- Finance / Quantitative Modeling
- Robotics / Control Systems / Reinforcement Learning
- Advanced NLP (specialized domains)
- Mathematics / Statistics (applied)
Logistics
- Fully remote — work from anywhere
- $200–$400/hr depending on domain and seniority
- 10–40 hrs/week, hourly contract
- Assessment required — paid if approved
- Independent contractor (1099) — not compatible with F-1 OPT, STEM OPT, or visa statuses requiring W-2 employment or employer sponsorship
⚠️ This is a project-based, freelance opportunity with no guaranteed hours. We recommend keeping other work options open while waiting for project assignment.
This offer from "G2i Inc." has been enriched by Jobgether.com and got a 75% flex score.
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