You will assess multiple chatbot responses against business requirements and defined criteria. Your work will turn business analysis judgment into structured assessments that help improve AI applications used in accounting and finance.
- Gather, analyze, and document business requirements.
- Compare chatbot outputs and provide final assessments using defined criteria.
- Translate business needs into functional specifications and identify gaps in workflows, processes, and data.
- Create reports, dashboards, process maps, and related documentation.
- Support testing, implementation, and user acceptance testing.
- Coordinate with technical and cross-functional teams while tracking risks, dependencies, project progress, and key performance indicators.
- Present recommendations to stakeholders.
What It Pays And Takes
This is a remote, project-based freelance engagement involving a defined number of evaluation tasks. The listing does not provide pay details.
- Schedule: 20+ hours per week across five working days, including weekends as required, with two weekdays off.
- Project duration: 16 weeks.
- Location: Remote and open worldwide.
- Language: Professional fluency in English.
- Education: Bachelor's degree in Business Administration, Finance, Computer Science, or a related field.
- Experience: At least two years as a Business Analyst or in a similar role.
- Requirements: Strong analytical, problem-solving, communication, attention-to-detail, and documentation skills.
- Required experience with requirements gathering and process mapping.
- Ability to work with cross-functional teams and manage multiple priorities.
- Knowledge of Agile or Scrum methods is an advantage.
- Experience creating functional specifications, reports, dashboards, or process maps is helpful.
- Familiarity with accounting or finance applications is relevant to the work.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
OpenTrain is a platform where people find AI training and data-labeling projects, build a profile, and apply. AI training work uses human review to help AI systems learn from examples, including evaluating chatbot responses against clear requirements.