AI/ML QA Specialist: Remote Data Quality & Validation

BairesDev; United States; Remote; CLP 58,881,000 - 88,322,000; Full time

Benefits offered by this job

100% remote

USD or local currency pay

Home office setup

Flexible hours

Parental leave

Vacations & holidays

Mentorship & growth

Global team culture

Job summary

BairesDev is seeking a QA Specialist (AI/ML) to ensure the integrity of datasets used for training advanced models. You will guard data quality, oversee annotation processes, and help maintain reliable AI performance across global projects.

Join a 100% remote team with competitive USD or local currency compensation, flexible hours, and a strong emphasis on mentorship and growth within a multicultural, top-tier talent environment.

Qualifications

• 5+ years in Quality Assurance or Data Operations.
• Proven expertise in data quality assurance and validation for data annotation.
• Strong ability to support and optimize AI/ML training data pipelines.
• Excellent attention to detail and ability to follow complex guidelines.

Responsibilities

• Audit and validate annotated datasets to ensure high-quality ground truth for model training.
• Monitor data pipelines to identify and resolve formatting inconsistencies or quality issues early.
• Review and refine annotation guidelines to ensure clarity and consistency across project teams.
• Provide detailed feedback and performance tracking to improve the accuracy of data labelers over time.
• Collaborate with AI/ML teams to establish robust data validation benchmarks and security protocols.

Skills

Data quality assurance

Data validation

AI/ML data pipelines

SDLC understanding

Attention to detail

English proficiency

Job description

BairesDev is seeking a QA Specialist (AI/ML) to ensure the integrity of datasets used for training advanced models. You will guard data quality, oversee annotation processes, and help maintain reliable AI performance across global projects.

Join a 100% remote team with competitive USD or local currency compensation, flexible hours, and a strong emphasis on mentorship and growth within a multicultural, top-tier talent environment.