STEM PhD (LATAM)

AI Trainer Jobs; United States; Remote; USD 34,000 - 49,000; Part time

Job summary

AI Trainer Jobs is seeking contractors for a STEM PhD (LATAM) remote review role to evaluate AI outputs across stem research reasoning, calculations, and research workflows.

Reviewers reproduce key results, document correct methods, and flag errors so the modeling team can train on high-quality data. This remote role requires graduate training and the ability to work asynchronously.

Qualifications

• Graduate-level training or equivalent applied experience in stem research or a closely related field for STEM PhD (LATAM) work.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that cites methods, papers, or worked examples.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current stem research methods, conventions, and prior work for STEM PhD (LATAM) assignments.
• Reproduce or sanity-check key derivations, calculations, or experimental claims.
• Flag dimensional, methodological, and citation errors with structured severity tags.
• Capture the corrected reasoning or worked example so the modeling team can train on it.
• Adjudicate disputed answers against textbooks, papers, or community standards.

Skills

Graduate-level training

Publications/Teaching

Rubric application

Written reasoning

Async availability

Education

PhD in STEM or equivalent

Job description

Role details

Category: Scientific AI & Domain Experts · Pay: $30 / hr · Location: Remote - US-eligible · Contractor

About the role

STEM PhD (LATAM) is a remote review track for evaluating AI outputs across stem research reasoning, calculations, and research workflows. Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.

STEM PhD (LATAM) is a remote review track for evaluating AI outputs across stem research reasoning, calculations, and research workflows.

STEM PhD (LATAM) is a remote review track for evaluating AI outputs across stem research reasoning, calculations, and research workflows. Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.
STEM research models live or die on whether their derivations actually hold up under scrutiny. AuraOne uses scientific specialists to grade outputs the way a peer reviewer would - checking assumptions, reproducing key steps, and capturing the right method alongside the wrong one.
Bring scientific and technical domain expertise into AI reasoning, research, and dataset review.

Responsibilities

• Review AI outputs against current stem research methods, conventions, and prior work for STEM PhD (LATAM) assignments.
• Reproduce or sanity-check key derivations, calculations, or experimental claims.
• Flag dimensional, methodological, and citation errors with structured severity tags.
• Capture the corrected reasoning or worked example so the modeling team can train on it.
• Adjudicate disputed answers against textbooks, papers, or community standards.

What you should bring

• Graduate-level training or equivalent applied experience in stem research or a closely related field for STEM PhD (LATAM) work.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that cites methods, papers, or worked examples.
• Reliable async availability for at least 10 hours per week.

Role signals

Example tasks

• Reproduce a stem research derivation from a model output and flag any algebraic or dimensional errors.
• Grade a model's literature summary against the cited papers and rate the citation quality.
• Adjudicate a disputed answer between two reviewers using textbook methods.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Useful experience

• PhD, postdoc, or industry research experience in the topic area.
• Prior work reviewing AI-assisted research tooling and its failure modes.
• Multilingual fluency for non-English papers and corpora.

Compensation and schedule

$30 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Scientific reasoning
• Method validation
• Citation review
• Quantitative analysis
• STEM research
• AI model evaluation

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 01 Confirm profile and eligibility details.
- 02 Attach this role deliberately.
- 03 Receive a human review decision or follow-up.
Placement timing depends on program demand and reviewer confirmation.