Remote Data Quality Specialist for AI/ML Pipelines

BairesDev; Mexico; Hybrid; MXN 1,018,000 - 1,527,000; Full time

Benefits offered by this job

Remote work

USD compensation

Hardware provided

Flexible schedule

Paid leave

Job summary

BairesDev is seeking a Data Quality Specialist to lead QA for data annotation and labeling in AI/ML workflows. You will execute comprehensive QA procedures, audit datasets, and document inconsistencies to improve data integrity across the lifecycle.

Join a fully remote, globally distributed team of top 1% tech talent. Enjoy flexible hours, USD compensation, hardware and software setup for home work, and strong mentorship and growth opportunities.

Qualifications

• 5+ years in data operations or QA roles.
• Proven QA for AI/ML training data pipelines.
• Excellent attention to detail and ability to follow guidelines.

Responsibilities

• Execute comprehensive quality assurance procedures for data annotation and labeling tasks.
• Audit datasets to ensure adherence to complex project-specific guidelines.
• Identify and document data inconsistencies, providing actionable feedback to annotation teams.
• Support the data lifecycle by maintaining integrity within AI/ML training data pipelines.
• Collaborate with stakeholders to refine annotation standards and improve data operations.
• Monitor data quality metrics and contribute to SDLC improvements.

Skills

Data quality assurance

AI/ML data pipelines

SDLC knowledge

Attention to detail

English proficiency

Job description

BairesDev is seeking a Data Quality Specialist to lead QA for data annotation and labeling in AI/ML workflows. You will execute comprehensive QA procedures, audit datasets, and document inconsistencies to improve data integrity across the lifecycle.

Join a fully remote, globally distributed team of top 1% tech talent. Enjoy flexible hours, USD compensation, hardware and software setup for home work, and strong mentorship and growth opportunities.