Remote QA Specialist for AI/ML Data Quality

BairesDev; Comisión de Fomento de Perú; Remote; ARS 136,310,000 - 227,183,000; Full time

Benefits offered by this job

100% remote

USD/Local compensation

Hardware provided

Flexible hours

Paid leaves

Job summary

BairesDev is seeking a QA Specialist (AI/ML) to safeguard the integrity of datasets used for training advanced models. You will audit annotated data, monitor pipelines, and refine guidelines to ensure accurate ground truth for AI performance.

This 100% remote role offers flexible hours, hardware and software setup, competitive compensation in USD or local currency, paid leaves and holidays, and opportunities to collaborate with a global Top 1% tech talent team.

Qualifications

• 5+ years of experience 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.
• Exceptional attention to detail and ability to follow complex guidelines.
• Solid understanding of the Software Development Life Cycle (SDLC).
• Advanced proficiency in English.

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

Quality Assurance

Data Operations

Data quality

AI/ML data pipelines

English proficiency

Job description

BairesDev is seeking a QA Specialist (AI/ML) to safeguard the integrity of datasets used for training advanced models. You will audit annotated data, monitor pipelines, and refine guidelines to ensure accurate ground truth for AI performance.

This 100% remote role offers flexible hours, hardware and software setup, competitive compensation in USD or local currency, paid leaves and holidays, and opportunities to collaborate with a global Top 1% tech talent team.