π Data Analyst – Remote | $30–$60/Hour | Remote Openings 30
π Data Analyst – Remote | $30–$60/Hour | 30 Openings
π 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.
π€ No previous AI experience is required — your data and analytical expertise are what matter.
πΌ Job Details
π’ Company: micro1
πΌ Role: Data Analyst
π Type: Contractor
π Location: Remote – US-based
π° Pay: $30–$60 per hour
π₯ Openings: 30
π€ AI Experience: Not required
π ️ Required Skills
Candidates should have experience with:
π Data Analysis
π Data Review
✅ Data Quality Checking
π Attention to Detail
⚠️ Error Spotting
π§© Handling Ambiguity
π Following Evaluation Guidelines
π Documenting Findings
π¬ Written & Verbal Communication
π Spreadsheet Skills
π 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.
π 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
π» Spreadsheet & Technical Skills
Candidates should have basic spreadsheet fluency, including:
π Sorting data
π Filtering data
➕ Using simple formulas
π Reviewing and organizing datasets
SQL and data querying experience is a plus.
π€ 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.
π Remote Work
π» Remote contractor position
πΊπΈ US-based candidates
π Data analysis & review
π Data quality evaluation
π€ AI training project
π₯ 30 openings
Apply Now