Opens LinkedIn
- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Review datasets and task outputs for accuracy, completeness, and compliance with guidelines, identifying inconsistencies and deviations. Apply evaluation rubrics consistently, document decisions in ambiguous cases, escalate recurring issues, and provide actionable feedback.
Job details
Data Analyst [$30 - $60/hour] Role Responsibilities Review datasets and detailed task outputs for accuracy, completeness, and adherence to guidelines Identify and flag inconsistencies, errors, and outputs that deviate from provided instructions. Apply structured rubrics and evaluation criteria consistently across large data sets Exercise sound judgment and document rationale in ambiguous scenarios where guidelines are unclear Escalate patterns or recurring data issues for further analysis rather than addressing them individually Provide clear, actionable written and verbal feedback pinpointing issues and suggesting resolution paths Maintain meticulous attention to detail while working through high volumes of repetitive data review assignments Good Candidature 3 5+ years of experience in data review, data quality, quality assurance, or analytical roles Proven expertise in reviewing, validating, and critiquing data or deliverables based on explicit criteria Exceptional ability to follow detailed written instructions and apply complex evaluation rubrics precisely Demonstrated comfort with ambiguity, including making justifiable decisions when guidelines are incomplete Advanced attention to detail and error-spotting capabilities across repetitive or high-volume work Strong written and verbal communication skills for documenting findings and providing feedback Baseline fluency with spreadsheets (sorting, filtering, simple formulas); SQL or hands-on data querying is a plus Experience with data annotation, labeling, or rubric-based evaluation is advantageous
What you’ll do
Review datasets and task outputs for accuracy, completeness, and compliance with guidelines, identifying inconsistencies and deviations. Apply evaluation rubrics consistently, document decisions in ambiguous cases, escalate recurring issues, and provide actionable feedback.
Requirements
Requires 5+ years of experience in data review, data quality, quality assurance, or analytical roles, with strong skills in applying detailed instructions and evaluation criteria. Candidates should have exceptional attention to detail, sound judgment in ambiguous situations, strong communication skills, and spreadsheet fluency; SQL, data querying, and data annotation experience are advantageous.
Listed skills
- Quality assurance · Preferred
- Data Validation · Preferred
- Attention to detail · Preferred
- written communication · Preferred
- SQL · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Review
- Data Quality
- Quality Assurance
- Data Validation
- Rubric-Based Evaluation
- Attention To Detail
- Error Detection
- Written Communication
- Verbal Communication
- Spreadsheet Skills
- Sorting And Filtering
- Simple Formulas
- SQL
- Data Querying
- Data Annotation
- Ambiguity Management
Job areas
- Data & Analytics
- Technology
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