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G2iGI

Machine Learning Evaluation Specialist - Remote

G2i is a hiring platform for engineers by engineers focused on React & React Native.

G2i

Employee count: 11-50

Salary: 416k-832k USD

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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.

About the job

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Posted on

Job type

Contractor

Experience level

Salary

Salary: 416k-832k USD

About G2i

Learn more about G2i and their company culture.

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G2i is a hiring platform for engineers by engineers focused on React & React Native. We provide engineers on contracts or direct hire to companies big and small (1 billion in valuation to 1 million).

We are passionate about the React ecosystem and are involved in the community. Everyone on the team has programming experience of some sort and offer training for new team members whether it be on the sales side or hiring team.

We technically vet every candidate that comes through our platform so companies don't have to waste their time with candidates that won't pass technical interviews.

Employee benefits

Learn about the employee benefits and perks provided at G2i.

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Paid vacation

21 days of paid time off

4-day workweeks

We work 4 day / 32 hour work weeks

Healthcare benefits

95% of base healthcare premium covered

View G2i's employee benefits
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G2i

Company size

11-50 employees

Founded in

2012

Chief executive officer

Gabe Greenberg

View company profile

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