Senior Data Operations Specialist

Senior Data Operations Specialist

We are looking for a Senior Data Operations Specialist to take ownership of the design, execution, and governance of data pipelines that power advanced AI and analytics systems. This role sits at the intersection of data quality, compliance, and human-in-the-loop oversight, ensuring our AI solutions are robust, ethical, and regulation-ready.

As part of this role, you will manage the full lifecycle of data operationsfrom dataset curation and annotation workflows to regulatory compliance and cross-functional collaboration with product, research, and engineering teams. If youre passionate about building scalable, compliant, and high-quality data foundations for AI, this opportunity is for you.

Key Responsibilities

• Data Curation & Quality: Drive processes for collecting, cleaning, labeling, and validating multi-modal datasets (text, images, audio, video, interaction logs).
• Human-in-the-Loop Oversight: Build and oversee workflows for RLHF, human evaluations, red-teaming, and exception handling; manage annotation vendors and internal labeling teams.
• Compliance & Governance: Align data operations with regulatory frameworks (EU AI Act, GDPR, global data privacy standards); maintain provenance, lifecycle documentation, and audit trails.
• Operational Leadership: Partner with engineering, research, and product stakeholders to scope data needs, define KPIs, and track delivery; mentor junior team members and improve processes at scale.
• Innovation & Tooling: Assess and implement annotation platforms, workflow automation, and emerging approaches (synthetic data, active learning, semi-automated labeling) while ensuring human oversight.

Requirements

• 5+ years in data operations, annotation management, or ML data lifecycle management.
• Proven experience working with large-scale, multi-modal datasets and distributed labeling teams.
• Strong expertise in data quality metrics, evaluation frameworks, and statistical validation methods.
• Familiarity with AI/ML pipelines, RLHF, or human evaluation of generative models.
• Working knowledge of AI/ML regulations and data privacy frameworks (EU AI Act, GDPR).
• Excellent leadership, project management, and cross-team communication skills.

Nice-to-Have

• Experience with annotation tools (Labelbox, Scale, Snorkel, Prodigy).
• Background in linguistics, human factors research, or applied data science.
• Hands-on experience with workflow automation, crowdsourcing platforms, or vendor management.
• Multilingual skills or domain-specific data expertise (finance, healthcare, legal, etc.).

Why Join Us?
We offer a supportive and rewarding work environment with a range of benefits designed to help you thrive:

• Full-Time Position: Stability and growth in a dedicated role.
• Competitive Compensation: Get paid in US dollars, ensuring a strong and stable income.
• 100% Remote Work: Enjoy the flexibility of working from anywhere in Latin America.
• Paid Time Off: Receive 12 PTO days per year to recharge and unwind.
• Local Holidays: Celebrate your country's holidays with paid time off.
• Birthday Off: Take your special day off, on us!
• Career Growth: Access clear career paths and opportunities for advancement.
• Recognition Program: Be celebrated for your achievements and contributions.
• Paid Leaves: Enjoy peace of mind with fully paid leaves.

If you meet these requirements and are interested in applying for this position, please let us know. We look forward to the possibility of working with you.