Data Validation Specialist (Remote)
Crewlia
What the role involves
- Validating conditional records
- Identifying invalid combinations
- Documenting validation outcomes
What they ask for
At least 18 years old; able to communicate in English; able to interpret conditional data rules and field dependencies; able to explain invalid combinations and exceptions with record-level evidence; reliable high-speed internet and suitable home-working setup
About the job
- Role: Data Validation Specialist (Remote)
- Location: Remote (Australia, Canada, Ireland, New Zealand, United Kingdom, United States)
- Pay: US$18 per hour
Applicants must currently reside in Australia, Canada, Ireland, New Zealand, the United Kingdom or the United States.
Overview
We are recruiting rule-focused contributors to validate complex structured data for AI projects. You will evaluate dependent fields and record combinations, interpret exceptions, and document why data passes or fails the defined rules.
Key Responsibilities
- Check multi-field rules in which one value changes what is required or allowed elsewhere.
- Identify invalid combinations, impossible sequences, and records that violate conditional constraints.
- Apply exception rules only when the required supporting evidence is present.
- Compare failing records with valid examples to confirm the decisive difference.
- Document rule-level outcomes so the cause of each validation failure is reproducible.
Requirements
- Must be at least 18 years old and able to communicate in English.
- Ability to interpret conditional data rules and dependencies across multiple fields.
- Ability to explain invalid combinations and supported exceptions with record-level evidence.
- Reliable high-speed internet and a suitable home-working setup.
- Previous experience with data validation, structured records, or rules-based review is helpful but not required.
Equal Opportunity
We welcome applications from qualified individuals of all backgrounds. Applicants are considered based on relevant skills, qualifications and project eligibility requirements, without discrimination on grounds protected by applicable law.
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