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OpenTrain

Environmental Science Professional LLM Evaluator

You will help improve language models by creating prompts based on real environmental science work and reviewing the responses they produce. Your evaluations will focus on whether the content is accurate, relevant, and shows a sound understanding of professional tasks.

Field
Machine learning
Where
United States
Commitment
part time
Hours
up to 20/week
Posted
6 days ago

Pay data for your profession: Data scientist AI trainer jobs

How this pay compares

The title points to rating and reviewing ai output: judging a model's answers or code against guidelines, such as which of two is better or whether one is correct and safe. What each kind of AI training work pays

At $100/hr, this role pays more than 65% of the 72 open machine learning roles with a listed pay range, above the median of $90.

Among platforms with 10 or more priced machine learning roles, Mercor has the highest median ($108/hr across 10 roles) and Alignerr the lowest ($63/hr across 13).

OpenTrain AI roles that closed since late October stayed listed a median of 31 days (122 roles). OpenTrain AI posted this one 6 days ago.

Computed from 2,746 open roles we track across Mercor, micro1, Handshake AI, Alignerr, Appen and OpenTrain AI, refreshed daily. Midpoints of listed ranges; “up to” ceilings are left out of medians.

What you would earn at this rate

Rate

$100/hr

Per week, before tax

$2,000

Per month, if the work is steady

$8,667

Tax
Contract pay arrives with no tax withheld. A US contractor at this rate and these hours would set aside about $2,191 a month for self-employment tax plus federal income tax at the 12% bracket (25%, before state tax). Outside the US, your own country's rules apply.

Assumes paid hours only; unpaid assessments, onboarding and gaps between projects lower the real figure. Full take-home calculator · Track what you actually earn

Open machine learning roles on each platform

The same kind of work, priced on every platform we track, with the best-paid open role on each.

PlatformOpenMedianBest-paid open role
Mercor10$108/hrMachine Learning Engineer Talent Network$70-250/hr
micro112$90/hrApplied Scientist$245-280/hr
OpenTrain AIthis role41$90/hrBioinformatics Machine Learning Expert$175/hr
Alignerr13$63/hrSoftware Engineer - Machine Learning$90-120/hr
Handshake AI3up to $75/hr3 pricedData ScientistUp to $120/hr

“Up to” rows list only ceilings, so their median is a maximum, not comparable with the range midpoints above them.

All 79 open machine learning roles →

The full listing

As posted on OpenTrain AI. See the original

The work

You will help improve language models by creating prompts based on real environmental science work and reviewing the responses they produce. Your evaluations will focus on whether the content is accurate, relevant, and shows a sound understanding of professional tasks.

The work is remote and primarily asynchronous. You will work independently across research projects, with assignments available based on project needs.

  • Write prompts using environmental science methods, terminology, and professional tasks.
  • Evaluate large language model responses for accuracy, relevance, and domain understanding.
  • Use knowledge from environmental science and related technical fields to review AI-generated content.
  • Communicate clearly in written work while working independently.

What it pays and takes

This role is open to candidates in the United States who can work in English. Professional experience in environmental science or a related field is required.

  • Pay: Up to $100 per hour, depending on the assigned project.
  • Hours: 20 or more hours per week.
  • Work arrangement: Remote, flexible, and primarily asynchronous.
  • Language: Professional fluency in English.
  • Experience: At least five years in conservation science, environmental science, soil or plant science, environmental engineering, geoscience, or geological technology.
  • Useful background: Environmental science practice, health-related environmental science, soil science, plant science, geology, or related technical work.
  • Skills: Knowledge of environmental science terminology, methods, and professional tasks; sound judgment when assessing AI responses; clear written communication.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work is the human side of building artificial intelligence. People write examples and review model responses so AI systems can better handle real-world questions, tasks, and language. Specialized expertise matters because experienced professionals can judge whether an answer is accurate and useful in their field.

From applying to your first payment on OpenTrain AI

  1. 1

    Create a profile

    Create a free OpenTrain profile with your domains, languages and hourly rate.

  2. 2

    Apply

    Apply to the listing. Some listings hire through OpenTrain; others send you to the hiring platform.

  3. 3

    Funded milestones

    The client funds each milestone before work starts.

  4. 4

    First payment

    OpenTrain pays out to your connected payout method when the client approves the milestone. It doesn't publish a fixed payout schedule.

Sources: OpenTrain: AI training careers, OpenTrain docs: invoicing and payouts

Full OpenTrain AI profile: watch-outs and the public record →

Pay history

OpenTrain AI has listed this role at $100/hr since Nov 5, 2026 with no change.

Across OpenTrain AI's machine learning roles, the median listed pay was $90/hr on Nov 1, 2026 (25 roles) and is $90/hr as of Nov 11, 2026 (37 roles).

What workers report about OpenTrain AI

Anonymous reports from people who applied or worked there: whether they got work, what they were paid and how fast.

Other machine learning roles

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