Senior Manager, Data Services Operations (AI Data Operations)

Location: Remote, US-based preferred. Eastern Time overlap preferred, with flexibility to work across US time zones based on business needs.

Company

hirify.global is an AI and human interpreting platform connecting clinicians and patients with medically qualified interpreters in hundreds of languages through video and audio.

What you will do

• Lead a distributed, on-demand workforce of transcribers, annotators, reviewers, and independent contributors across languages, dialects, countries, and time zones.
• Manage and develop project coordinators and senior reviewers; define qualification tests, contributor tiers, feedback loops, communication standards, and performance expectations.
• Own client project delivery from requirements and estimation through staffing, scaling, re-forecasting, and delivery against deadlines.
• Monitor throughput, capacity, productivity, cost, turnaround, and project risks; build and maintain operational reporting and analyze data independently.
• Design and run quality systems including gold sets, sampling plans, reviewer calibration, acceptance thresholds, annotation guidelines, and transcription guidelines.
• Work with clients, vendors, Recruiting, Product, Engineering, leadership, and partnerships to resolve quality issues, expand capacity, and identify tooling and automation opportunities.

Requirements

• 3+ years of experience in AI training data operations, including transcription, speech data, annotation, labeling, or data evaluation at a data vendor, crowd platform, or AI company’s in-house data team.
• 4+ years of people management experience, including coordinators, project managers, team leads, or similar roles; experience hiring, coaching, developing, and managing out employees when necessary.
• Experience running a large marketplace or crowd workforce, ideally hundreds of contributors or more, using qualification, testing, tiers, pay, and communication rather than fixed schedules.
• Experience delivering projects across multiple languages, including languages the candidate does not personally speak, while maintaining quality through operational systems.
• Strong command of data-quality metrics, including WER, DER, agreement rates, vendor result differences, and fair acceptance thresholds.
• Track record of shipping at scale, such as thousands of audio hours or labeled items delivered to client specifications and deadlines.
• Strong analytical skills and ability to build reports and analysis in advanced spreadsheets; ability to pull and analyze data independently.
• Clear, direct communication with contributors, clients, executives, vendors, and cross-functional teams.
• Experience with commercial or in-house annotation/transcription platforms.
• Background in linguistics, translation, or localization.

Nice to have

• SQL or Python.
• Experience with pre-annotation using ASR or LLMs.
• Experience with LLM evaluation, conversational data, or multimodal data.
• Automation experience with Apps Script, Python, APIs, Zapier, or similar tools.
• Experience managing international contractors.
• Fluency in a language besides English.

Culture & Benefits

• Remote, distributed work across countries and time zones.
• Marketplace-based operating model where independent contributors choose when and how much they work.
• Emphasis on clear guidelines, timely pay, useful feedback, contributor engagement, and consistent quality standards.
• Opportunity to work on multilingual speech and language data for AI companies and healthcare-related interpreting services.

Hiring process

• Submit a resume and a short note, preferably one page.
• Describe the largest data project delivered, the managed team, and a quality problem solved, including data type, languages, volume, timeline, metrics, and outcomes.