LLM Business Analyst

🔥 0 minutes ago

🏈 Alabama, Arizona, +21 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🐎 Kentucky – Remote 🦬 Montana – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🌪️ Oklahoma – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $10 / hour

⏳ Contract/Temporary

🟢 Junior

🟡 Mid-level

🧐 Business Analyst

🚫👨‍🎓 No degree required

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

🎯 Recruiter

🤖 Artificial Intelligence

📚 Education

Recruitment • Artificial Intelligence • Education

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Review, label, classify, and validate data according to detailed project guidelines • Ensure **accuracy, consistency, and quality** across assigned tasks • Apply instructions objectively when evaluating or categorizing content • Identify edge cases, discrepancies, and annotation issues • Escalate unclear or inconsistent cases when needed • Perform quality checks and provide clear feedback where required • Meet productivity and quality expectations in a remote work environment • Work independently while following project standards and timelines

🎯 Requirements

• Minimum 2 years of professional experience in an analytical, operational, QA, review, or similar role • Strong English reading, writing, and comprehension skills • Ability to follow detailed guidelines and apply them consistently • Basic proficiency with **Google Workspace or Microsoft Office** • Prior experience in **data annotation, content review, quality assurance, or similar work** • Availability to work 40 hours per week for 3–4 weeks • Reliable desktop or laptop setup with a stable internet connection