Business Analyst (Computer Use Agent) - II

Executive Staff Recruiters / ESR Healthcare; United States; Remote; USD 34,000 - 55,000; Full time

Job summary

Executive Staff Recruiters / ESR Healthcare is seeking a Business Analyst (Computer Use Agent) - II to support a Computer-Using Agent evaluation project. You will review AI-generated responses, perform online research, and annotate findings to improve AI instruction understanding.

Responsibilities include analyzing complex content, verifying claims, solving analytical tasks, creating evaluation scenarios, and providing detailed feedback. Strong English and research skills are required.

Qualifications

• Excellent English communication and reading comprehension required.
• Strong analytical, logical, critical, and creative thinking.
• Ability to identify reliable information and distinguish unsupported claims.
• Familiarity with Excel, Google Sheets, Docs, and Workspace.

Responsibilities

• Analyze, summarize, and structure complex content clearly and accurately.
• Conduct online research to verify claims and evidence.
• Solve analytical, logical reasoning, data interpretation, and puzzle questions.
• Create scenarios to evaluate AI model performance.
• Review AI outputs with detailed ratings and feedback.

Skills

Analytical thinking

Critical thinking

English communication

Research skills

Independent work

Education

Bachelor's degree

Related field degree

Tools

Excel

Google Sheets

Google Docs

Google Workspace

Job description

Business Analyst (Computer Use Agent) - II

https://work.turing.com/r/HttcaeB2P4

Business Analyst works on a Computer-Using Agent (CUA) evaluation project designed to assess and improve how AI systems understand instructions, analyze information, reason through problems, and complete tasks in digital environments. The role involves reviewing AI-generated responses and actions, validating information through online research, assessing accuracy and task completion, identifying errors or gaps, and providing detailed annotations, ratings, and explanations.

Job Responsibilities:

• Analyze, summarize, and structure complex written content clearly and accurately.
• Conduct online research to verify claims, sources, and supporting evidence.
• Solve analytical, logical reasoning, data interpretation, arithmetic, and puzzle-based questions.
• Create scenarios and questions to evaluate and improve large language model performance.
• Review AI-generated responses and provide detailed ratings, annotations, explanations, and feedback.

Job Requirements:

• Demonstrate excellent English communication and reading comprehension skills.
• Apply analytical, logical, critical, and creative thinking to solve complex problems.
• Identify reliable information and distinguish it from inaccurate or unsupported claims.
• Interpret data, identify patterns, compare information, and perform basic calculations.
• Work independently while following detailed instructions, quality standards, and timelines.

Preferred Qualifications:

• Hold or pursue a degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, Business, or a related field.
• Demonstrate relevant experience in business analysis, research, copywriting, journalism, technical writing, editing, translation, or similar fields.
• Candidates without a bachelor’s degree may also be considered based on relevant experience and demonstrated skills.
• Demonstrate familiarity with Excel, Google Sheets, Google Docs, and Google Workspace.
• Show an interest in artificial intelligence, large language models, online research, and emerging technologies.

Selection Process :

• Please complete the Assessment in the Google Form (You will find the link of the Google form in the application form of this Job)
• Please use a desktop/laptop to complete the Google form
• This Google form assessment is of ~45-50 minutes
• Please complete this form as soon as possible to be considered for the opportunity.
• Candidates who successfully pass our internal assessment review will be considered for this role

Project Details:

• Engagement Type: Hourly, long-term engagement.
• Duration: 16 weeks, with potential opportunities for extension.
• Expected Start Date: Around 15 October or nearby dates.