Drilling Engineer (Remote, Part-Time)
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires energy professionals to shape how AI models handle drilling and well operations content. You bring your field knowledge of drilling operations, well planning, and the data systems that track them, then judge what a model produces and flag where it drifts from real practice. The engagement runs as an hourly, project-based fellowship you can stack on top of a current role, with an asynchronous schedule and no floor on hours. Most contributors log somewhere between 5 and 20 hours a week while a project stays active, and placement follows whatever work is open at the time. No background in AI is needed to start.
What You'll Do7
- 1Review AI-generated answers about drilling and completions work and score them for technical accuracy.
- 2Write expert reference material that captures how drilling workflows actually run in the field.
- 3Compare model output against accepted well planning and cost analysis practices.
- 4Call out errors in terminology, sequence, or calculations and explain the correct approach in writing.
- 5Translate hands-on knowledge of tools such as WellView, SAP, ComboCurve, or AVEVA PI into clear training examples.
- 6Document feedback so research teams can trace why a response passed or failed.
- 7Keep your own queue moving without daily supervision from a manager.
Requirements7
- 1At least 2 years of professional experience in drilling, completions, or a related energy operations role.
- 2Background as a Drilling Engineer, Completions Engineer, Well Cost Analyst, Drilling Superintendent, or a comparable position.
- 3Direct working knowledge of at least one of these platforms: WellView, SAP, ComboCurve, or AVEVA PI.
- 4Writing that holds up to technical review, with precise wording and no ambiguity.
- 5Sharp eye for detail when checking numbers, units, and operational steps.
- 6Capacity to work on your own schedule and stay responsive to an AI research team.
- 7No prior AI or machine learning experience required.
Who Should Apply
The strongest fit is someone who has spent a few years inside drilling or completions operations and still remembers the exact steps, tools, and cost structures involved. If you have used WellView or AVEVA PI as part of your daily work, you can describe those workflows without guessing, which is exactly what this project needs. Candidates get rejected most often when their experience is adjacent but shallow, such as general oil and gas exposure without drilling or completions ownership. A second common miss is writing that stays vague, where a reviewer cannot tell whether the person knows the tool or simply recognizes the name. This role suits people who want flexible side income and not a permanent position, so anyone seeking full-time hours or a career track should look elsewhere.
Salary Insight
Pay reaches $85.00 per hour. That sits at the top of what project-based AI training work pays for domain specialists, and it reflects the seniority the team wants: several years of hands-on drilling or completions experience plus fluency in tools like WellView or ComboCurve. Rates in this kind of work usually scale with how rare your specialty is, so deep drilling operations knowledge puts you near the ceiling.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
up to $85/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay falls inside that range.
Based on 536 similar roles that publish pay · 94 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
- 599
- Listed in last 30 days
- 270
- Remote
- 97%
Hiring most right now: micro1 (274) · Mercor (79) · SME Careers (61)
Most requested skills · share of roles
- python17%
- technical writing9%
- llm evaluation7%
- data annotation7%
Figures from Machine Learning & AI 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 specific platform you use and how you use it. Instead of writing "experienced with WellView," describe the reports you build or the well data you maintain, then tie that to a concrete outcome such as wells drilled, AFE accuracy, or cost savings. Reviewers screen for tool-level detail and years of drilling or completions ownership, so lead with both.
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
VerifiedDrilling Superintendent - Remote AI Project
Handshake AI hires energy specialists to build and review training data for AI models. In this part-time remote fellowship, you apply your drilling operations background to judge AI answers, flag errors, and craft reference examples. Tools you may use include WellView, SAP, ComboCurve, or AVEVA PI, depending on your experience. The schedule stays async with about 5 to 20 hours each week during active projects, so you can fit the work around other commitments. No prior AI experience is needed.
Handshake AI
VerifiedCompletions Engineer - Remote Fellowship
Handshake AI invites drilling and completions specialists to join an ongoing AI research fellowship. The work centers on evaluating AI-generated answers about drilling operations, well planning, and energy data systems, then giving feedback that sharpens how models handle those topics. Contributors use their own field experience and daily tools to build expert training data. Hours are remote and self-scheduled, with no minimum weekly commitment. Most active contributors log about 5 to 20 hours per week.
Handshake AI
VerifiedDrilling/Production Engineer - Energy AI (Remote)
Handshake AI hires energy professionals for project-based work that improves how AI systems handle industrial operations and performance engineering questions. You bring your experience with tools like AVEVA PI, WinCC, or Power BI to judge AI-generated answers and build expert training data. The schedule stays remote and async, with most contributors logging 5 to 20 hours per week during an active project. No prior AI work is needed, and you can take on the fellowship alongside your current role.
Handshake AI
VerifiedWell Cost Analyst - Remote AI Data Project
Handshake AI hires energy professionals for project-based contract work that improves AI models used in drilling and completions. You will review AI-generated answers and training data, then flag errors, gaps, and weak reasoning based on your field experience. The role centers on drilling operations, well planning, and energy data systems, so fluency with tools such as WellView, SAP, ComboCurve, or AVEVA PI matters. Work happens remote and async, with no minimum hours; most contributors log 5 to 20 hours each week during an active project. You can keep this alongside another job because placement follows project demand and future openings.
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
VerifiedReservoir Engineer - AI Training Project
Handshake AI brings on energy industry experts for project-based AI research work, and this opening focuses on reservoir engineering. You will use hands-on knowledge from subsurface analysis and production operations to judge AI-generated answers, flag errors, and create expert training data. The work is remote and asynchronous, with no minimum hours; most contributors put in 5 to 20 hours each week while a project is active. Tools such as Petrel, ARIES, Techlog, Avocet, and AVEVA PI often come into play because the project values real workflow experience. You do not need prior AI experience. Placement depends on current project needs with chances to join future projects.