πŸ“Š Data Analyst – Remote | $30–$60/Hour | Remote Openings 30

πŸ“Š Data Analyst – Remote | $30–$60/Hour | 30 Openings πŸš€ Remote Contractor Opportunity by micro1 micro1 is looking for experienced Data Analysts to contribute to a customer-focused data quality project. In this role, you will use your expertise in data review, quality checking, error detection, and analytical evaluation to help improve the quality of data used to train next-generation AI systems. πŸ€– No previous AI experience is required — your data and analytical expertise are what matter. πŸ’Ό Job Details 🏒 Company: micro1 πŸ’Ό Role: Data Analyst πŸ“‹ Type: Contractor 🌍 Location: Remote – US-based πŸ’° Pay: $30–$60 per hour πŸ‘₯ Openings: 30 πŸ€– AI Experience: Not required πŸ› ️ Required Skills Candidates should have experience with: πŸ“Š Data Analysis πŸ” Data Review ✅ Data Quality Checking πŸ‘€ Attention to Detail ⚠️ Error Spotting 🧩 Handling Ambiguity πŸ“‹ Following Evaluation Guidelines πŸ“ Documenting Findings πŸ’¬ Written & Verbal Communication πŸ“‘ Spreadsheet Skills πŸ“Œ Scope of Work 1️⃣ Review Data Review datasets and detailed task outputs to check for accuracy, completeness, and compliance with project guidelines. 2️⃣ Identify Errors Find and flag: ❌ Inconsistencies ❌ Errors ❌ Missing information ❌ Outputs that don't follow instructions 3️⃣ Apply Evaluation Criteria Use structured rubrics and evaluation criteria consistently when reviewing large volumes of data. 4️⃣ Handle Ambiguous Cases Use sound judgment when instructions are unclear and document the reasoning behind your decisions. 5️⃣ Identify Recurring Issues Recognize patterns and recurring data-quality problems and escalate them for further analysis instead of treating each issue individually. 6️⃣ Provide Feedback Provide clear and actionable written or verbal feedback explaining problems and suggesting possible resolution paths. 7️⃣ High-Volume Data Review Maintain a high level of accuracy and attention to detail while working through repetitive and high-volume data review assignments. πŸŽ“ Preferred Qualifications The ideal candidate may have: ✅ 3–5+ years of experience in data review, data quality, QA, or analytical roles ✅ Experience validating and reviewing data or deliverables ✅ Strong ability to follow detailed instructions ✅ Experience applying complex evaluation rubrics ✅ Ability to make well-reasoned decisions when information is incomplete ✅ Excellent error-spotting skills ✅ Strong attention to detail ✅ Excellent written and verbal communication ✅ Spreadsheet knowledge, including sorting, filtering, and simple formulas ✅ SQL or hands-on data querying experience is a plus ✅ Experience with data annotation, labeling, or rubric-based evaluation is advantageous πŸ’» Spreadsheet & Technical Skills Candidates should have basic spreadsheet fluency, including: πŸ“Š Sorting data πŸ”Ž Filtering data ➕ Using simple formulas πŸ“‹ Reviewing and organizing datasets SQL and data querying experience is a plus. πŸ€– About the Opportunity This role provides experienced data professionals with an opportunity to apply their analytical skills to AI data quality and evaluation projects. Your work will focus on reviewing real-world data, identifying errors, applying evaluation criteria, and providing feedback that can help improve AI systems. No prior AI experience is required. 🌍 Remote Work πŸ’» Remote contractor position πŸ‡ΊπŸ‡Έ US-based candidates πŸ“Š Data analysis & review πŸ” Data quality evaluation πŸ€– AI training project πŸ‘₯ 30 openings Apply Now