Well Cost Analyst - Remote AI Data Project
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
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.
What You'll Do8
- 1Assess AI answers about drilling, completions, and well cost work for technical accuracy and relevance.
- 2Build expert training examples that show correct drilling and completions workflows, calculations, and terminology.
- 3Mark where AI output misses standard energy industry practice or misreads data from WellView, SAP, ComboCurve, or AVEVA PI.
- 4Give written feedback that explains why a response fails or succeeds, using your own project experience as the benchmark.
- 5Compare AI-generated text against real well planning, cost tracking, or operations documents you have handled.
- 6Work through assigned tasks on an async schedule and meet project deadlines set by AI research teams.
- 7Flag safety, compliance, or data quality issues in AI content related to energy operations.
- 8Track recurring model errors and report patterns to researchers.
Requirements7
- 12+ years of professional experience in drilling, completions, or another energy operations discipline.
- 2Background as a Drilling Engineer, Completions Engineer, Well Cost Analyst, Drilling Superintendent, or a similar role.
- 3Hands-on use of at least one tool from this set: WellView, SAP, ComboCurve, AVEVA PI.
- 4Clear written communication that turns technical judgment into specific feedback.
- 5Careful review habits and comfort spotting small errors in data, calculations, or terminology.
- 6Ability to work on your own on an async schedule with AI research teams.
- 7No prior AI experience needed.
Who Should Apply
The best fit is an energy operations professional with at least two years in drilling, completions, or well cost work and direct use of WellView, AVEVA PI, SAP, or ComboCurve. You should enjoy writing clear explanations and be able to judge AI output against real field practice. This role suits people who want flexible project work next to a current job. Candidates without hands-on drilling or completions experience score low, even if they know AI. Applications also get rejected when they list tools in general terms but cannot describe actual tasks completed in those systems.
Salary Insight
The listing states up to $85.00 per hour for this fellowship. That rate reflects the specialized energy operations background required, and it sits at the higher end for part-time AI research work. Handshake AI sets final pay based on the project and your fit, so confirm details with the team before you start.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$71/hour
This role
up to $85/hr
Most Data Engineering roles pay $50–$85 per hour. This role's pay falls inside that range.
Based on 196 similar roles that publish pay · 32 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.
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Compensation
Up to $85/hr
Required Skills
Application Tip
In your application, name the exact tools you use and the drilling or completions tasks you completed with them. For example: 'Built well cost estimates in WellView and tracked AFEs in SAP for 3 years.' Then add a short writing sample that explains a technical error in plain language. That combination proves both domain depth and the written feedback skill this project needs.
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