Subsurface Reservoir Engineer - Remote Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI seeks subsurface and reservoir specialists for part-time contract projects that feed energy-industry AI training sets. You will create expert outputs such as reservoir simulation studies, SEC reserves reports, well test analyses, and production allocation calculations. The work uses Petrel, ARIES, Techlog, and Avocet in the same way you would handle daily engineering tasks. No fixed hours or minimum schedule apply, so you can take on assignments alongside a current role.
What You'll Do6
- 1Build reservoir simulation studies that mirror professional workflows and deliver them as structured project outputs.
- 2Prepare SEC oil and gas reserves reports with the same rigor you apply in reporting roles.
- 3Run well test analyses and production allocation calculations for expert datasets.
- 4Operate Petrel, ARIES, Techlog, and Avocet to complete assigned engineering tasks.
- 5Produce reference-quality analytical work that supports AI training environments in the energy sector.
- 6Set your own pace and choose project tasks without a fixed schedule or minimum hour commitment.
Requirements8
- 12+ years of professional experience in subsurface engineering, reservoir analysis, or production operations.
- 2Background in one or more roles: reservoir engineer, reservoir modeler, petrophysicist, reserves engineer, production engineer, well test engineer, or production allocation analyst.
- 3Hands-on skill with Petrel, ARIES, Techlog, or Avocet for independent engineering work.
- 4Direct experience with reservoir simulation and production forecasting workflows.
- 5Familiarity with SEC oil and gas reserves reporting requirements.
- 6Capability in well test analysis and production allocation calculations.
- 7Bachelor's degree or higher.
- 8Strong written communication, detail focus, and remote self-management.
Who Should Apply
Engineers with at least two years in reservoir, subsurface, or production work fit best, with priority for those who already use Petrel, ARIES, Techlog, or Avocet on simulation, forecasting, SEC reporting, or allocation tasks. The role suits someone who can turn daily engineering work into discrete project deliverables and write clear summaries for an AI research team. Candidates who lack hands-on tool experience or need a fixed schedule and close supervision will find the fit weak. Applicants often score low when their resume lists coursework or general oil and gas exposure instead of specific reservoir simulation, well test, or reserves reporting projects, or when they overlook the written communication requirement.
Salary Insight
The listed rate is $80.00 per hour. For project-based AI training work in energy engineering, that rate tends to match contributors who bring several years of applied reservoir or subsurface experience. Since you control how many tasks you take, total pay depends on the volume of projects you accept.
Pay and demand for Cloud & DevOps roles
AggregatedTypical pay
$75/hour
This role
$80/hr
Most Cloud & DevOps roles pay $55–$95 per hour. This role's pay falls inside that range.
Based on 220 similar roles that publish pay · 34 publish only a top rate; those count at the rate they gave
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Compensation
$80/hr
Required Skills
Application Tip
Name the exact tools and workflows in your application: list Petrel, ARIES, Techlog, or Avocet projects next to quantified results such as 'built 12 reservoir simulation models' or 'prepared 5 SEC reserves reports.' Show two or more years in a reservoir, subsurface, or production role, and include a short writing sample that explains a well test analysis or allocation calculation. Generic oil and gas resumes without specific tool use or documented deliverables do not pass the first review.
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