Strategic Operations Professionals: Task Evaluation and Scoring
You'll start with a short screening interview
We're running a paid study on how expert operational decision-making can be quantified and structured for artificial intelligence systems. The goal is to better understand how complex human judgments are translated into clear criteria and scoring rubrics. This work directly supports the ongoing improvement of advanced data models.
You will participate in a remote session to review various operational scenarios and workflows. During the process, you will be asked to define structured tasks and establish clear evaluation criteria based on your professional experience. We will have you build scoring rubrics that capture the nuances of high-level strategic operations. The session involves focused, independent work alongside guided prompts to capture your logic step by step.
We welcome operations managers, strategic project leaders, and human-data professionals with deep experience in complex decision-making. You should be highly comfortable taking ambiguous business processes and breaking them down into measurable frameworks. Professionals who regularly design operational metrics or evaluation standards will be an especially strong fit.
- Review complex operational workflows and strategic business scenarios
- Translate high-level judgments into structured tasks and clear evaluation criteria
- Design scoring rubrics that accurately measure performance or quality
- Explain the reasoning behind your chosen metrics and operational frameworks
- Professional background in strategic projects, operations, or human-data workflows
- Experience designing evaluation criteria, rubrics, or operational metrics
- Comfortable breaking down complex, ambiguous workflows into structured steps
- Strong ability to articulate the logic behind operational decisions
- You will be engaged as an independent contractor.
- This is a fully remote opportunity that can be completed on your own schedule.
- Opportunities can be extended, shortened, or concluded early depending on needs and performance.
- Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments are processed weekly based on services rendered.
- We are unable to support H1-B or STEM OPT candidates at this time.
About Terac
Terac is the expert network for AI training and research.