Process Safety Engineer - Remote Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI seeks energy industry professionals for part-time, remote project work that improves AI models. You will use your background in process safety, EHS, and energy regulatory compliance to review AI-generated content and judge how well it reflects real EHS workflows. The project asks for hands-on knowledge of tools such as VelocityEHS, ServiceNow, and Synergi Pipeline, and no prior AI experience is needed. Work runs on an async schedule with no minimum hours; most contributors take on 5 to 20 hours per week during active projects. Placement depends on current project needs, with chances to join later projects.
What You'll Do6
- 1Review AI responses that cover EHS, process safety, and energy compliance topics. Point out factual errors, missing context, and weak reasoning.
- 2Build expert training examples from your own work in safety and compliance. Show how real tasks, forms, and decisions look in practice.
- 3Score AI output for accuracy and relevance against industry rules and accepted practice. Explain each score with clear notes.
- 4Use tools like VelocityEHS, ServiceNow, or Synergi Pipeline to ground your review in actual software behavior.
- 5Write brief feedback that helps AI research teams understand where a model fails and what good output should include.
- 6Work async and manage your own hours across active project phases. Coordinate with researchers through written updates.
Requirements6
- 1At least two years of professional experience in EHS, process safety, or energy regulatory compliance.
- 2A background in roles such as EHS Specialist, Process Safety Engineer, NERC CIP Analyst, Pipeline Integrity Engineer, or a similar energy industry position.
- 3Hands-on use of one or more tools: VelocityEHS, ServiceNow, or Synergi Pipeline.
- 4Strong writing skills with close attention to detail.
- 5Ability to work on your own and async with AI research teams.
- 6No prior AI experience required.
Who Should Apply
The ideal candidate has at least two years in EHS, process safety, or energy regulatory compliance, plus direct use of VelocityEHS, ServiceNow, or Synergi Pipeline. You write with precision, notice small errors, and can set your own schedule for a part-time remote project. This role fits energy professionals who want to add AI research work beside a current job. Candidates often score low when they claim broad safety knowledge without naming a qualifying role or tool. Another common miss is feedback that states an answer is wrong but does not explain why.
Salary Insight
Pay reaches up to $85.00 per hour. For part-time AI training projects in specialized energy and EHS domains, this top rate matches contributors who bring several years of hands-on process safety or compliance work. Your final rate can depend on the project and your background, so treat the figure as a ceiling rather than a set wage.
Pay and demand for Chemical & Process Engineering roles
AggregatedTypical pay
$79/hour
This role
up to $85/hr
Most Chemical & Process Engineering roles pay $58–$95 per hour. This role's pay falls inside that range.
Based on 234 similar roles that publish pay · 35 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 280
- Listed in last 30 days
- 157
- Remote
- 89%
Hiring most right now: micro1 (100) · Mercor (45) · AfterQuery (35)
Most requested skills · share of roles
- Python18%
- technical writing13%
- React9%
- ci/cd8%
Figures from Chemical & Process Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
Up to $85/hr
Required Skills
Application Tip
Name the exact tools you use. If you have VelocityEHS, ServiceNow, or Synergi Pipeline experience, state which one and describe a task you completed in it. Quantify your years in EHS, process safety, or energy regulatory compliance, and include a short writing sample that critiques a technical statement. Reviewers need to see domain depth and written skill in your application.
See NearSkill jobs more often in your search
Application & verification flow
1Instant rubric match
Your resume is scanned against this role’s requirements to check qualification fit.
2Screened before the employer sees it
Only profiles that clear screening are passed on.
3Outcome by email
We notify you at the address on your resume once the screening is reviewed.
Similar open positions
Explore active roles that match your skills and interests.
Handshake AI
VerifiedEnergy Professional - Remote AI Evaluation
Handshake AI hires energy specialists for project-based AI work, not a permanent role. You bring hands-on experience from oil and gas, power generation, utilities, renewables, or energy compliance and use it to judge AI-generated content. The job centers on reviewing model answers for accuracy and relevance, then explaining how real energy workflows operate in practice. No AI background is required. Work happens remote on an asynchronous schedule, with most contributors logging around 5 to 20 hours each week while a project is active.
Handshake AI
VerifiedReliability Engineer - Remote Energy AI Project
Handshake AI seeks energy professionals to join a remote, part-time fellowship that brings real operations knowledge into AI research. You review AI-generated answers, flag errors, and craft expert training data using your own experience with plant performance, industrial operations, or energy asset management. The schedule is async, and most contributors log 5 to 20 hours per week during active projects. You do not need prior AI experience. The project runs as long as client needs continue, and strong contributors may get picked for later assignments.
Handshake AI
VerifiedProcess Engineer - AI Research (Remote Contract)
Handshake AI seeks experienced process and refinery engineers to join a part-time, remote project. You will assess AI-generated answers for accuracy in process simulation and refinery planning, then provide written feedback that improves model performance. The work is flexible and asynchronous, with no set schedule or minimum hours. Draw on your expertise with tools like Aspen, Haverly GRTMPS, or AVEVA PI to create training scenarios that reflect real-world workflows.
Handshake AI
VerifiedEnvironmental Health & Safety Manager - Remote
Handshake AI hires experienced environmental health and safety professionals for part-time, hourly contract work that improves AI models. You bring real EHS background to review AI-generated content and explain where it misreads compliance rules, safety practices, or health protocols. The job does not involve managing an EHS program for a single employer. Instead, you assess model outputs, write detailed feedback, and help AI systems handle environmental health and safety topics with more accuracy.
Handshake AI
VerifiedProduction Engineer - Remote AI Fellowship
Handshake AI seeks production engineers and related energy specialists to review AI-generated material and shape training data for models used in subsurface work. You will apply hands-on knowledge of reservoir engineering, subsurface analysis, and production operations to judge whether AI responses match real industry practice. The engagement runs as a part-time fellowship with remote, asynchronous hours, so you can fit it around another role. No AI background is necessary, and active projects ask for about 5 to 20 hours per week.
Handshake AI
VerifiedEnvironmental Analyst - Remote Part-Time
Handshake AI invites energy professionals into a fellowship that supports AI research through part-time, per-hour contract work. You review AI-generated answers and build training material tied to environmental assessment, GIS analysis, and renewable energy siting. Daily tools such as ArcGIS, Oracle MDM, and Aurora Solar inform how you judge accuracy, relevance, and geospatial data practices. The schedule stays remote and async, with no minimum hours, and most contributors put in 5 to 20 hours during an active project. This sits alongside other work because the engagement is project-based rather than a permanent role.