Completions Engineer - Remote Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
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.
What You'll Do8
- 1Review AI-generated responses about drilling and completions for technical accuracy and relevance.
- 2Build expert training examples from your own field experience and daily workflows.
- 3Flag errors, omissions, or weak reasoning in model answers about well planning and energy operations.
- 4Use tools such as WellView, SAP, ComboCurve, or AVEVA PI to verify claims and ground feedback in real data.
- 5Write clear critiques that explain why an answer fails or succeeds from an operator's point of view.
- 6Partner with AI research teams on an asynchronous schedule, sharing feedback when project tasks arrive.
- 7Document examples of correct drilling and completions practices to improve future model outputs.
- 8Track project instructions and submit evaluations within agreed timelines.
Requirements6
- 1At least 2 years of professional experience in drilling, completions, or related energy operations.
- 2Background as a Drilling Engineer, Completions Engineer, Well Cost Analyst, Drilling Superintendent, or equivalent energy role.
- 3Hands-on use of one or more tools: WellView, SAP, ComboCurve, or AVEVA PI.
- 4Strong written communication skills with a sharp eye for technical detail.
- 5Ability to work on your own schedule and coordinate with AI research teams in writing.
- 6You can apply without prior AI experience.
Who Should Apply
You fit if you have spent at least two years in drilling, completions, or adjacent energy operations and can point to daily use of WellView, SAP, ComboCurve, or AVEVA PI. The role rewards people who write with precision, catch technical errors, and work alone on an asynchronous schedule. Candidates with only classroom knowledge or no hands-on tool experience tend to score lower. The project also is not a fit for anyone seeking a fixed full-time schedule or steady guaranteed hours, since placement depends on active project needs. A common rejection reason is feedback that stays vague and lacks specific drilling or completions detail, or failing to connect your tool experience to real operational decisions.
Salary Insight
Pay reaches up to $85.00 per hour. That rate sits at the high end for project-based AI evaluation work and matches contributors with at least two years of hands-on drilling or completions experience and direct tool use. The source does not state a lower bound, so actual hourly offers may vary by project and background.
Pay and demand for Oil, Gas & Mining roles
AggregatedTypical pay
$85/hour
This role
up to $85/hr
Most Oil, Gas & Mining roles pay $80–$85 per hour. This role's pay falls inside that range.
Based on 8 similar roles that publish pay · 7 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
- 8
- Listed in last 30 days
- 8
- Remote
- 100%
Hiring most right now: Handshake AI (8)
Most requested skills · share of roles
- aveva pi75%
- drilling engineering75%
- technical writing63%
- sap50%
Figures from Oil, Gas & Mining roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
Up to $85/hr
Required Skills
Application Tip
In your application, name the exact energy tools you use (WellView, SAP, ComboCurve, AVEVA PI) and describe one concrete drilling or completions decision you supported with each. Pair that with a short writing sample that explains a technical error in plain language. That combination shows the tool fluency and written clarity this AI research fellowship screens for.
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Your resume is scanned against this role’s requirements to check qualification fit.
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3Outcome by email
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