Drilling/Production Engineer - Energy AI
Listing checked October 23, 2026 · pay as published by Handshake AI
Key details
- Pay
- Up to $85/hr
- Location
- RemoteUnited States
- Job type
- Part-Time
- Posted
- October 5, 2026
Overview
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.
What You'll Do8
- Review AI responses about drilling, production, and plant performance for accuracy and relevance.
- Create reference answers that reflect how an experienced engineer would approach a real operational problem.
- Score AI output against accepted practices in energy asset management and industrial operations.
- Document your reasoning in clear written notes so research teams can follow your judgment.
- Identify missing context, factual errors, or unsafe guidance in AI-generated content.
- Annotate workflows, performance metrics, and tool outputs from your own professional experience.
- Compare AI suggestions with hands-on knowledge of SCADA, reliability, or generation asset analysis.
- Complete project tasks on your own schedule while meeting agreed quality standards.
Requirements8
- At least 2 years of professional experience in industrial operations, plant performance, or energy asset management.
- A background as a Plant Performance Engineer, Reliability Engineer, SCADA Engineer, Drilling/Production Engineer, Generation Asset Analyst, or similar energy role.
- Hands-on use of at least one tool from this list: AVEVA PI, WinCC, Oracle MDM, Power BI, or Bloomberg Terminal.
- Strong written communication skills for explaining technical decisions.
- Attention to detail when checking AI output for errors and omissions.
- Ability to work on your own with AI research teams in an async setting.
- No prior AI experience required.
- Comfort with project-based work and variable weekly hours.
Who Should Apply
The strongest match has at least two years in industrial operations, plant performance, or energy asset management and can point to hands-on work with AVEVA PI, WinCC, or a similar system. You should enjoy writing clear technical explanations and judging AI answers against real field practice. This role fits engineers who want flexible project work next to a full-time job or other commitments. Less suitable for candidates who need a permanent position, fixed weekly hours, or direct management duties. Applications often fall short when they list energy experience without naming the specific tools used, or when writing samples stay vague about operational data and performance metrics.
Salary Insight
Pay reaches $85 per hour at the top of the range. For project-based AI training in energy and industrial domains, that rate sits near the upper end and often matches contributors with several years of hands-on operations or asset management experience. Expect the final rate to depend on the specific project and your background.
Pay and demand for AI Training roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
Up to $85/hr
Taken from the listing itself.
Typical pay · estimated
$70/hour
Median of 1,329 similar roles that publish pay · 301 publish only a top rate; those count at the rate they gave
Most AI Training roles pay $40–$95 per hour. This role's pay falls inside that range.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,543
- Listed in last 30 days
- 815
- Remote
- 97%
Hiring most right now: micro1 (421) · SME Careers (254) · Mercor (230)
Most requested skills · share of roles
- ai evaluation13%
- llm evaluation12%
- ai training11%
- data annotation11%
Figures from AI Training 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 rolesRequired skills
How applying works
1. Pre-screen on NearSkill
A quick application on NearSkill checks your fit against this role.
2. Finish on the employer’s site
We hand you to Handshake AI’s official application page to complete the form.
3. Wait for a response
The employer’s hiring team reviews applications and gets back to you.
Similar jobs
Open roles that match this listing's skills and level.
Handshake AIDrilling Engineer (Remote, Part-Time)
Handshake AIPlant Performance Engineer
Handshake AIDrilling Superintendent - Remote AI Project
Handshake AIReliability Engineer - Remote Energy AI Project
Handshake AIProduction Engineer - Remote AI Fellowship
Handshake AI