Remote AI Data & Software Operations Specialist

BairesDev; United States; Remote; MXN 1,292,000 - 2,215,000; Full time

Benefits offered by this job

Remote work

Competitive USD pay

Home workstation provided

Flexible schedule

Parental leave and holidays

Mentorship & growth

Growth opportunities

Job summary

BairesDev, a global software company, is seeking a Software Operations Specialist to oversee data integrity in AI/ML pipelines and ensure QA across large-scale data annotation projects.

You will collaborate with engineering teams, refine workflows, and monitor metrics to drive process improvements while maintaining high standards of SDLC compliance. Remote-friendly with flexible hours and competitive USD compensation.

Qualifications

• 5+ years of experience in Software Operations or Data Quality Assurance.
• Proven expertise in providing quality assurance for data annotation and AI/ML training data pipelines.
• Exceptional attention to detail and a proven ability to strictly follow complex operational guidelines.
• Solid understanding of the Software Development Life Cycle (SDLC) within an operations context.
• Advanced proficiency in English.

Responsibilities

• Execute comprehensive quality assurance protocols for complex data annotation and AI/ML training sets.
• Monitor and refine operational workflows to ensure continuous alignment with project specifications.
• Collaborate with engineering teams to integrate operational feedback into the software development lifecycle.
• Maintain high standards of data integrity through meticulous attention to detail and consistent audit processes.
• Analyze operational metrics to identify areas for process improvement and documentation updates.
• Facilitate communication between technical teams and operational staff to streamline production targets.

Skills

Data Quality Assurance

AI/ML data pipelines

SDLC understanding

Attention to detail

English proficiency

Job description

BairesDev, a global software company, is seeking a Software Operations Specialist to oversee data integrity in AI/ML pipelines and ensure QA across large-scale data annotation projects.

You will collaborate with engineering teams, refine workflows, and monitor metrics to drive process improvements while maintaining high standards of SDLC compliance. Remote-friendly with flexible hours and competitive USD compensation.