The Work
You will evaluate multiple chatbot responses against defined business criteria and produce final assessments. The work applies business analysis methods to requirements, workflows, processes, data, and functional needs for AI applications in accounting and finance.
You will also turn business needs into clear specifications, identify gaps, document findings, and support planning, testing, implementation, and user acceptance testing.
- Gather, analyze, and document business requirements.
- Compare chatbot responses and rate them against defined evaluation criteria.
- Translate business needs into functional specifications.
- Review workflows, processes, and data to identify gaps and improvement opportunities.
- Create reports, dashboards, process maps, and related documentation.
- Coordinate with technical and cross-functional teams.
- Track risks, dependencies, progress, and key performance indicators.
- Present insights and recommendations to stakeholders.
What It Takes
This is an entry-level project for candidates in the United States. The role requires careful judgment when comparing chatbot outputs with business requirements, along with the ability to manage several priorities and work with cross-functional teams.
Knowledge of Agile or Scrum methods is helpful. Familiarity with accounting and finance applications can support the project work.
- Open to candidates in the United States.
- Professional fluency in English.
- 20 or more hours per week.
- A 16-week freelance project.
- A five-day weekly schedule, including weekends when required, with two weekdays off.
- At least two years of experience as a Business Analyst or in a similar role.
- Experience gathering requirements and mapping processes.
- Strong analytical, problem-solving, communication, and documentation skills.
- Ability to compare chatbot outputs against business requirements using careful judgment.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training work uses human reviews and examples to improve how AI systems respond. Business analysts are valuable on projects like this because they can judge outputs against real requirements, workflows, and decision-making standards.