Business Analyst
Alignerr
Job Overview
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Job Description
About the Business Analyst Role at Alignerr
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
We’re hiring Business Analysts to manage and mentor a team of analysts creating business-focused content to improve AI models. You’ll combine leadership, quality oversight, and subject expertise in MBA-relevant domains to ensure outputs are accurate, logically sound, and aligned with project goals. This role is ideal for someone who enjoys people management, operational excellence, and shaping high-quality analytical content. No prior AI experience is required for this role.
Organization & Compensation
Alignerr is offering this Business Analyst position as an Hourly Contract role with compensation ranging from $40–$80 per hour. This is a remote position requiring a commitment of 10–40 hours per week.
What You’ll Do
- Collaborate with and mentor a team of Business Analysts/Content Specialists.
- Allocate tasks, oversee workflows, and ensure timely, high-quality delivery.
- Conduct QA reviews, refine processes, and improve team efficiency.
- Provide performance feedback, training, and career development.
- Act as the primary stakeholder contact, sharing regular project updates.
- Guide creation of case studies, scenarios, and structured business content (finance, policy, e-commerce, etc.).
Requirements
- Bachelor's degree or undergraduate in Business, Finance, Accounting, Economics, Statistics, or a related field. Candidates with relevant experience without a Bachelor's degree are also encouraged to apply.
- 2+ years of team management experience.
- 3–6 years in business analysis, consulting, content, or domain-focused projects.
- Analytical Skills: Good research and analytical skills.
- Feedback Skills: Ability to provide constructive feedback and detailed annotations.
- Creative Thinking: Creative and lateral thinking abilities.
- Communication: Excellent communication and collaboration skills.
- No prior AI experience is required.
Preferred Qualifications
- Master’s degree or undergraduate in Business, Finance, Accounting, Economics, Statistics, or a related field.
- Prior experience with data annotation, data quality, or evaluation systems.
- Bonus: case study writing, or academic/research content.
Why Join Alignerr?
- Competitive pay and flexible remote work.
- Collaborate with a team working on cutting-edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process
The application process takes approximately 15-20 minutes and involves:
- Submitting your resume.
- Completing a short screening.
- Project matching and onboarding.
Our team reviews applications daily. Please ensure you complete your AI interview and all application steps to be considered for this exciting opportunity.
Key skills/competency
- Business Analysis
- Team Management
- Content Creation
- Project Management
- Quality Assurance
- Analytical Thinking
- Communication Skills
- Mentorship
- AI Model Training
- Domain Expertise (Finance, Economics, E-commerce)
How to Get Hired at Alignerr
- Research Alignerr's AI mission: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their commitment to cutting-edge AI research and model training.
- Highlight leadership and analytical prowess: Tailor your resume and cover letter to showcase your team management and business analysis experience, providing specific examples of impact.
- Emphasize domain expertise: Provide examples of your work in finance, economics, or e-commerce content creation, demonstrating your ability to shape high-quality analytical content.
- Prepare for a structured interview: Practice discussing how you mentor teams, ensure quality, manage projects, and communicate effectively with stakeholders.
- Showcase problem-solving skills: Be ready to demonstrate creative thinking and strong analytical capabilities through examples of past challenges and solutions.
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