Geospatial Analyst - 51201
Boston, MA · Remote
... with Human Feedback (RLHF), and Evaluation (Evals). In this role, you'll apply your domain ... Educational background in Geography, GIS, Remote Sensing, Environmental Science, or related ...
Geospatial Analyst - 51201
Boston, MA · Remote
... with Human Feedback (RLHF), and Evaluation (Evals). In this role, you'll apply your domain ... Educational background in Geography, GIS, Remote Sensing, Environmental Science, or related ...
Experience with RL post-training (RLHF, GRPO, tool-augmented RL) * Experience training MoE architectures Location San Francisco, CA or Cambridge, MA (Remote, Hybrid, and On-Site available depending ...
Experience with RL post-training (RLHF, GRPO, tool-augmented RL) * Experience training MoE architectures Location San Francisco, CA or Cambridge, MA (Remote, Hybrid, and On-Site available depending ...
Remote Rlhf information
How does a Remote RLHF (Reinforcement Learning from Human Feedback) specialist typically collaborate with other team members?
A Remote RLHF specialist often works closely with data scientists, machine learning engineers, and product managers to design and refine AI models using human feedback. Collaboration usually happens through regular virtual meetings, cloud-based code repositories, and shared annotation tools. The role requires clear communication to ensure that human feedback is accurately integrated into the learning process and that model improvements align with project goals. Being proactive in sharing findings and challenges is key, as team members may be distributed across different time zones.
What is the difference between Remote Rlhf vs Remote Rlhf?
| Aspect | Remote Rlhf | Remote Rlhf |
|---|---|---|
| Credentials | Typically requires certification in mental health or counseling, such as LPC or LCSW | Similar credentials, often with additional training in specific therapy methods |
| Work Environment | Remote, client-facing sessions via telehealth platforms | Remote, providing therapy or support services online |
| Industry Usage | Common in mental health, therapy, and counseling sectors | Used in mental health and support services, often interchangeably with Rlhf |
Remote Rlhf and Remote Rlhf are similar roles in mental health support, primarily differing in specific certifications or training focus. Both roles involve providing remote therapy or support services via telehealth platforms, making them highly comparable in work environment and industry usage.
What are the key skills and qualifications needed to thrive as a Remote RLHF (Reinforcement Learning from Human Feedback) Engineer, and why are they important?
To succeed as a Remote RLHF Engineer, you need expertise in machine learning, reinforcement learning, and programming languages like Python, often supported by an advanced degree in computer science or related fields. Familiarity with ML frameworks (such as TensorFlow or PyTorch), version control systems, and cloud computing platforms is typically required. Strong problem-solving, communication, and self-management skills are vital for remote collaboration and interpreting human feedback effectively. These skills enable the development of robust AI systems that can learn efficiently from human input while ensuring productive teamwork in a distributed environment.
What is a Remote RLHF job?
A Remote RLHF (Reinforcement Learning from Human Feedback) job involves working with artificial intelligence systems, particularly large language models, to improve their performance using feedback from humans. In this role, individuals may annotate data, provide quality evaluations, or help design feedback mechanisms while working from a remote location. These jobs are crucial for ensuring AI models align better with human values and expectations, and they are often offered by AI research companies or organizations focused on machine learning. The work can involve tasks such as ranking AI-generated responses, identifying errors, and suggesting improvements. Remote RLHF positions are popular due to their flexibility and the opportunity to contribute to cutting-edge AI technology.
What are the most commonly searched types of Rlhf jobs in Massachusetts? The most popular types of Rlhf jobs in Massachusetts are:
What are popular job titles related to Remote Rlhf jobs in Massachusetts? For Remote Rlhf jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Rlhf jobs in Massachusetts look for? The top searched job categories for Remote Rlhf jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Rlhf jobs? Cities in Massachusetts with the most Remote Rlhf job openings:
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.
- Fluent in English; representation from US, APAC, and EMEA regions encouraged.
- Proven expertise in geospatial analysis, either through professional practice or academic research.
- 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.
- 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
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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About turing
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Palo Alto, CA, US
Year founded
2018