Drilling/Production Engineer for AI Model Evaluation
Saidgig
| Company | Saidgig |
| Category | Uncategorised |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| First seen | 2 Aug 2026 (the employer did not state a posting date) |
| Last verified | 6 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Role Overview Drilling and Production Engineers apply hands-on field and operations knowledge to evaluate AI-generated outputs and create expert training data that improve AI understanding of operations workflows, production engineering practices, and asset performance.
Key Responsibilities
• Review AI-generated content for technical accuracy and practical relevance to drilling, production, and plant operations.
• Provide detailed, actionable feedback and corrections that help AI models better reflect real-world workflows and performance engineering practices.
• Produce expert-level examples, annotations, and training materials based on the tools and processes you use day to day.
• Document operational edge cases, failure modes, and constraints for use by AI research teams, working asynchronously.
Qualifications
• Minimum 2 years of professional experience in industrial operations, plant performance, or energy asset management.
• Relevant roles include, but are not limited to, Plant Performance Engineer, Reliability Engineer, SCADA Engineer, Drilling/Production Engineer, or Generation Asset Analyst.
• Hands-on experience with one or more of these systems: AVEVA PI, WinCC, Oracle MDM, Power BI, Bloomberg Terminal.
• Strong written communication skills, high attention to detail, and the ability to work independently and asynchronously with AI research teams.
• No prior AI experience required; subject-matter expertise and practical operational knowledge are the priority.
Work Terms
• Engagement type: hourly contract work, part-time and project-based; this is not a traditional full-time employment role.
• Location: fully remote.
• Schedule: flexible, asynchronous work with no minimum hour requirement; contributors typically work about 5 to 20 hours per week when participating in an active project.
• Placement is driven by current project needs; being selected for one project does not guarantee immediate placement on future projects, but contributors may be considered for subsequent work as opportunities arise.
Compensation
• Pay rate: Up to $85/hr (depending on the project).
Eligibility and How to Apply
• Eligibility is based on the qualifications listed above and the ability to verify your identity as part of onboarding.
• Application steps: create a profile, complete identity verification, complete onboarding for projects you are matched to, then begin assigned tasks and receive hourly payment.