Manager of AI Data Operations

Come be a part of our mission and make a meaningful and positive impact with the industry leading provider of language services for the Deaf and hard-of-hearing!

Full time Benefits

• Paid Vacation Time and Paid Sick Time and Paid Holidays
• 401k 6% match with immediate vesting
• Nationwide Medical Insurance plans and coverage (Medical, Dental/Orthodontia, Vision)




• TeleDoc
• HSA company match
• 3 Medical plan options including a Low Deductible PPO Medical Plan Offering




• Employee Assistance Program
• Engaged Employee Resource Groups
• Outstanding Learning and Career Development Opportunities

Pay Range: Actual pay may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for incentive compensation.

* Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role *

Job Summary

The Manager of AI Data Operations leads the end-to-end lifecycle of data used to train, test, and ship AI models for sign language recognition and generation. This role is critical to ensuring that data assets are clean, accurate, properly labeled, and compliant, bridging the gap between our data collection teams and the raw data sources that power our AI products.

This role will be responsible for data pipeline management, annotation quality, and vendor operations while designing scalable workflows that keep pace with the demands of production AI systems. The ideal candidate will thrive in ambiguous, fast-moving environments and is passionate about building the data foundation that makes trustworthy AI possible.

Essential Duties and Responsibilities

• Data Pipeline Management: Own the end-to-end data pipeline including collection, labelling, annotation, and preparation of data for AI model training and evaluation.
• Labeling & Annotation Oversight: Lead data annotation and labeling operations establishing quality standards, annotation guidelines, and inter-annotator agreement benchmarks to ensure high-fidelity training datasets.
• Data Integrity & Reporting: Design and maintain regular reporting cadences that track progress against data collection, labeling, and annotation targets.
• Vendor & Workforce Management: Serve as the primary operational contact for third-party annotation and collection vendors, managing SLAs, quality reviews, and budget tracking.
• Workflow Optimization: Identify bottlenecks in data processes and implement scalable solutions including automation, tooling improvements, and process redesign to increase throughput and reduce error rates.
• Data Documentation: Maintain comprehensive documentation of data schemas, annotation taxonomies, pipeline architecture, and quality benchmarks.
• Cross-Functional Collaboration: Partner with AI scientists, Insights Team and Product Managers to translate model data requirements into actionable data collection and labeling work.
• Compliance & Responsible AI: Ensure all data operations comply with applicable privacy regulations, internal data governance policies, and responsible AI standards.
• Regulation: Responsible for gaining a working understanding of all regulatory and legal requirements related to your role/work product and ensuring that those requirements are met.
• Other duties as assigned.

Supervisory Responsibility

This position has no supervisory responsibilities.

Travel Requirements

Travel Requirements: Less than 25%

Education

Minimum 4 Year / Bachelors Degree in a related field, or equivalent career experience.

Experience

4 years of experience in data operations, program management, or AI/ML product roles, with experience in data annotation, labeling, or data pipeline management.

Knowledge, Skills, and Abilities

• Hands-on experience with annotation platforms and data pipeline orchestration tools
• Excellent project management skills with the ability to coordinate multiple concurrent workstreams across internal teams and external vendors in ambiguous, fast-paced environments.
• Strong understanding of AI/ML data requirements, including dataset construction, train/test/validation splits, class balancing, and the impact of data quality on model performance.
• Strong analytical and written communication skills, including the ability to translate complex data quality findings into clear executive summaries and actionable recommendations.
• Experience managing distributed or remote annotator teams, with demonstrated ability to maintain quality and throughput across geographically dispersed workforces.
• Collaborative, low-ego working style with the confidence to advocate for data quality investments and the judgment to make trade-off decisions independently.
• Commitment to responsible data practices, including privacy-preserving data handling, bias awareness, and ethical AI data sourcing.
• Proficiency with standard productivity and collaboration tools (Microsoft Office, Confluence, JIRA, or equivalent).
• Familiarity with data infrastructure and ML tooling environments (e.g., dashboards, model evaluation platforms, cloud data storage, annotation tools) preferred.
• Ability to query a dataset in SQL, review annotator performance metrics, and present data quality strategy to executive stakeholders.
• Professional attitude, team player, strong interpersonal communication skills, and able to work across research, engineering, and business departments.

Company Summary

Our Mission...Harnessing the power of language, we connect diverse people and enrich the human experience.

Our Vision...To provide global language services that expand opportunities, nurture belonging, and empower the world to connect beyond words.

As one of the world's leading language services providers, Sorenson combines patented technology with human-centric solutions. We strive to increase accessibility and inclusion through communication solutions for all: call captioning and video relay services, over-video and in-person sign language and spoken language interpreting, translation, real-time captioning, and post-production language services. Sorenson's impact vision and plan extends to enhancing generational wealth and inclusive workplaces for our employees and the communities we serve.

We achieve great things together working "The Sorenson Way" with our employee values: Customer First, Can-Do Attitude, Collective Action, Growth Mindset, Ownership, and Connect Direct.

Equal Employment Opportunity:
Sorenson Communications is an Equal Opportunity, Affirmative Action Employer.