Machine Learning Evaluation Specialist

G2i Inc. India
Remote
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AI Summary

Design and evaluate machine learning problems, requiring deep expertise in a scientific or technical domain. Propose original research-grade problems, assess AI-generated solutions, and document problem difficulty. Work independently on intellectually demanding tasks.

Key Highlights
Design and evaluate machine learning problems
Propose original research-grade problems
Assess AI-generated solutions
Key Responsibilities
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
Technical Skills Required
Machine Learning Model Selection Feature Engineering Evaluation Metrics
Benefits & Perks
$200–$400/hr
Fully remote
10–40 hrs/week

Job Description


Machine Learning Evaluation Specialist (Remote)


List of accepted countries and locations


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.


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.


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