Geospatial Analyst - 51201

Turing

Boston (MA)

Remote

USD 60,000 - 80,000

Part time

14 days+

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Benefits offered by this job

Fully remote, flexible work

Opportunity to contribute to advanced AI research

Collaborate on creative tasks

Job summary

A leading AI research accelerator is seeking Geospatial Experts in Boston, MA to enhance AI systems. You'll evaluate geospatial datasets and contribute to applications in crisis response and supply chain optimization, all while enjoying flexible remote work. This 3-month freelance contract is ideal for those with expertise in geospatial analysis and familiarity with related tools.

Qualifications

Proven expertise in geospatial analysis, either through professional practice or academic research.
Participation in professional geospatial communities or conferences is a plus.

Responsibilities

Evaluate and provide expert feedback on geospatial datasets, model outputs, and analyses.
Support annotation and reasoning tasks for real-world use cases.

Skills

Fluent in English

Expertise in geospatial analysis

Familiarity with geospatial tools

Education

Educational background in Geography, GIS, Remote Sensing, Environmental Science

Tools

Google Earth

ArcGIS

QGIS

geospatial Python libraries

Job description

1 day ago Be among the first 25 applicants

We’re looking for Geospatial Experts to help advance AI systems through Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), and Evaluation (Evals).

In this role, you’ll apply your domain expertise to assess, improve, and validate AI performance on complex geospatial reasoning and decision-making tasks, contributing to real-world applications with global impact.

What You’ll Do Day-to-Day

Evaluate and provide expert feedback on geospatial datasets, model outputs, and analyses.
Support annotation and reasoning tasks for real-world use cases such as crisis response, agriculture, supply chain optimization, and forecasting.
Ensure that evaluations align with accuracy, ethical, and contextual integrity standards in geospatial modeling.

Requirements

Fluent in English; representation from US, APAC, and EMEA regions encouraged.
Proven expertise in geospatial analysis, either through professional practice or academic research.

Experience or Knowledge in One or More of the Following Domains

Crisis response and management (e.g., damage assessment)
Agriculture and environmental monitoring
Site selection, market expansion, or supply chain optimization
Forecasting and modeling involving geospatial data
Educational background in Geography, GIS, Remote Sensing, Environmental Science, or related disciplines (preferred but not required).
Familiarity with geospatial tools and frameworks such as Google Earth, ArcGIS, QGIS, or geospatial Python libraries.
Participation in professional geospatial communities or conferences (e.g., AGA) is a plus.

Perks of Freelancing With Turing

Fully remote, flexible work.
Opportunity to contribute to advanced AI research and multimodal data projects.
Collaborate on creative, real-world tasks that shape how AI learns from human behavior.
Potential for extended collaboration based on performance and project needs.
Commitments Required : Maximum of 40 hours/week is allowed. This contract assignment may require some overlap with UTC-8:00 (2-5 hrs/day) America/Los_Angeles. To be confirmed closer to the onboarding date
Engagement type : Contractor assignment/freelancer (no medical/paid leave)
Duration of contract : 3 months, can be extended

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

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Seniority level