Agricultural Technician

AI Trainer Jobs; United States; Remote; USD 76,000 - 143,000; Full time

Job summary

AI Trainer Jobs seeks an Agricultural Technician for a remote review track evaluating AI outputs in agricultural science reasoning, calculations, and research workflows. Reviewers grade derivations, reproduce key results, and document correct methods so the modeling team can train on them.

Agricultural science models rely on rigorous derivations; candidates bring graduate-level training and demonstrated experience in reviewing AI-assisted research, with clear written reasoning and multi-page

Qualifications

• Graduate-level training or equivalent applied experience in agricultural science or a closely related field for Agricultural Technician work.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Clear written reasoning that cites methods, papers, or worked examples.

Responsibilities

• Review AI outputs against current agricultural science methods, conventions, and prior work for Agricultural Technician 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.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Agricultural science

Crop monitoring

Data collection

Equipment operation

Field sampling

Irrigation monitoring

Lab techniques

Pest identification

Education

Graduate-level training in agricultural science or related field

Job description

Agricultural Technician is a remote review track for evaluating AI outputs across agricultural science 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.

Category: Scientific AI & Domain Experts · Pay: $55–$104 / hr · Location: Remote — US-eligible · Contractor

Agricultural Technician is a remote review track for evaluating AI outputs across agricultural science reasoning, calculations, and research workflows.

Role details

About the role

Agricultural Technician is a remote review track for evaluating AI outputs across agricultural science 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.
Agricultural science 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 agricultural science methods, conventions, and prior work for Agricultural Technician 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.

What you should bring

• Graduate-level training or equivalent applied experience in agricultural science or a closely related field for Agricultural Technician 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 agricultural science 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

$55–$104 / 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
• Agricultural science
• Crop Monitoring
• Data Collection
• Equipment Operation
• Field Sampling
• Irrigation Monitoring
• Lab Techniques
• Pest Identification

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.