AfterQueryVerified listing

Ocean, Atmosphere & Earth Observation Scientist

50/hr

Remote

contract

Posted November 11, 2026

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Listing checked November 12, 2026 · pay as published by AfterQuery

Key details

Pay: $50/hr
Location: Remote
Job type: contract
Posted: November 11, 2026

Overview

AfterQuery supplies expert data to leading AI labs, and this role puts your field science background to work on that data. You will write research-level problems that draw on the cruises, deployments and field campaigns you have handled, including the raw instrument and survey data you processed yourself. The work runs on a contract basis with no fixed weekly schedule, so you decide how many tasks to take on. Each accepted task pays $300 and typically takes about 6 hours. Candidates who know Python well enough to quality-check their own measurements fit best here.

What You'll Do7

Draft research-level problems in oceanography, atmospheric science, geoscience or your own specialty
Ground each problem in real field or instrument data rather than model output or reanalysis products
Write clear technical explanations that a reader with domain knowledge can follow
Verify your own submissions for accuracy before you hand them in
Document your reasoning, assumptions and expected solution steps
Take on as many tasks as you want, on a schedule you set
Apply background and identity verification as part of onboarding

Requirements5

Hands-on experience processing your own raw field or instrument data
Working knowledge of Python or a comparable language for data handling and quality checks
Ability to describe technical work in writing with clarity and precision
Comfort working without supervision and managing your own time
Task-based availability with no fixed weekly hours

Preferred Qualifications5

PhD or Master's degree in oceanography, atmospheric science, geoscience or a related field
Field campaign experience, including research cruises or instrument deployments
Quality control pipelines, calibration work and instrument drift analysis
Public code, a thesis or published papers that show your technical work
Prior data annotation, labeling or AI/ML evaluation work

Who Should Apply

Postdocs, research staff and field scientists at oceanographic, meteorological or geological institutes who have processed raw instrument data themselves. A PhD or Master's degree plus campaign experience strengthens an application.

Salary Insight

The rate is $300 per approved task at roughly $50 per hour, with each task taking about 6 hours. There is no cap on tasks, so your output drives total earnings, and $50 per hour sits above many standard research assistant rates for this type of expert writing work.

Pay and demand for AI Training roles

Market estimates from live NearSkill listings — separate from this job's published terms.

Aggregated

This role · as published

$50/hr

Taken from the listing itself.

Typical pay · estimated

$70/hour

Median of 1,384 similar roles that publish pay · 304 publish only a top rate; those count at the rate they gave

Most AI Training roles pay $40–$100 per hour. This role's pay falls inside that range.

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Most requested skills · share of roles

ai evaluation
13%
llm evaluation
12%
python
11%
data annotation
10%

Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

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Required skills

PythonOceanographyAtmospheric ScienceGeoscienceQuality ControlInstrument CalibrationField Data CollectionResearch CruisesTime Series AnalysisData LabelingData AnnotationAI EvaluationTechnical WritingScientific Data Processing

How applying works

1. Pre-screen on NearSkill
A quick application on NearSkill checks your fit against this role.
2. Finish on the employer’s site
We hand you to AfterQuery’s official application page to complete the form.
3. Wait for a response
The employer’s hiring team reviews applications and gets back to you.