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Data Ops Leader, Annotations & Datasets

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.

Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.

We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense.

The Role

As the Data Annotation Leader, you’ll play a pivotal role in enabling our AI applied science and product teams. This role is responsible for building the datasets needed to train and evaluate the next generation of models powering Abridge’s products. This role is a unique opportunity to stand up a new function on a team that is reshaping the practice of medicine. You will work cross-functionally, collaborating closely with AI/ML scientists, product leaders, data engineers, and our legal team, developing processes to scale up data annotation efforts at Abridge.

Key responsibilities include (i) sourcing job specifications from stakeholders in scientists and product; (ii) working with our commercial, legal, and security teams to identify and uphold all relevant data security and privacy requirements; (iii) driving strategic decisions about which vendors to work with and when to spin up internal annotation processes; (iv) quarterbacking engagements with vendors, working with finance and company leaders to negotiate strong deals; and (v) overseeing the work to ensure the quality of work product and compliance with our requirements. 

What You'll Do

  • Stay on top of the landscape of vendors, including both capabilities and economics.

  • Drive strategic decisions about which annotation jobs to pursue with which vendor. 

  • Quarterback discussions and negotiations with vendors in partnership with finance and leadership.

  • Ensure that our annotation investments align with Abridge’s research and product priorities, communicating frequently with builder leadership. 

  • Work closely with scientists to produce clear specifications and identify appropriate datasets for each task. 

  • Be the point person in charge of each annotation effort, ensuring that all efforts meet our product needs, comply with our obligations, and are completed swiftly.

  • Define and monitor quality metrics for annotation tasks.

  • Work with our AI science and engineering teams to curate the resulting datasets for model training and evaluation (storage, versioning, access controls, etc.).

What You'll Bring

  • 5+ years in data annotation, data operations, or related roles, with at least 2 years in a leadership position.

  • Experience working with annotation platforms (e.g., Labelbox, Scale AI, Supervisely) 

  • Familiar with the operations of machine learning research teams and the role of annotated data in model training.

  • Experience building and managing internal annotation teams

  • Strong organizational and project management skills.

  • Experience working with cross-functional teams in a fast-paced, startup environment

Bonus Points If...

  • Basic scripting or data manipulation skills (e.g., Python, Excel) are advantageous but not required.

  • Experience in medical or conversational data annotation.

  • Understanding of ETL/ELT processes, data governance, and security best practices.

  • Experience with data management tools and frameworks (e.g., SQL, BigQuery, DBT/Airflow).

  • Experience working with Cloud providers (AWS/GCP/Azure).

  • Experience with healthcare data and knowledge of HIPAA compliance.

Base Salary: $150,000 USD - $260,000+ USD per year + Equity

The salary range provided is based on transparent pay guidelines and is an estimate for candidates residing in the San Francisco and New York City metro areas. The actual base salary will vary depending on the candidate's location, relevant experience, skills, qualifications, and other job-related factors. Additionally, this role may include the opportunity to participate in a company stock option plan as part of the total compensation package.

Must be willing to work from our SF office at least 3x per week

This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco.

Must be willing to travel up to 10%

Abridge typically hosts a three-day builder team retreat every 3-6 months. These retreats often feature internal hackathons, collaborative project sessions, and social events that allow the team to connect in person.

We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.

Why Work at Abridge?

  • Be a part of a trailblazing, mission-driven organization that is powering deeper understanding in healthcare through AI!

  • Opportunity to work and grow with talented individuals and have ownership and impact at a high-growth startup.

  • Flexible/Unlimited PTO — Salaried team members can take off as much approved time off as they need, plus 13 paid holidays

  • Equity — For all salaried team members

  • Medical insurance — We pay 100% of the premium for you + 75% for dependents. 3 Aetna plans to choose from.

  • Dental & Vision insurance — We pay 100% of the premium for you + 75% for dependents. 2 Aetna plans to choose from.

  • Flexible Spending (FSA) & Health Savings (HSA) Accounts

  • Learning and Development budget — $3,000 per year for coaching, courses, workshops, conferences, etc.

  • 401k Plan — Contribute pre-tax dollars toward retirement savings.

  • Paid Parental Leave — 16 weeks paid parental leave, for all full-time employees

  • Flexible working hours — We care more about what you accomplish than what specific hours you’re working.

  • Home Office Budget — We provide up to $1,600 in a one-time reimbursement to set up your home office.

  • Sabbatical Leave — 30 days of paid Sabbatical Leave after 5 years of employment.

  • ...Plus much more!

Life at Abridge

At Abridge, we’re driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the “inverse” way in a legacy system—focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.

Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgrounds—an experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time. We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.

Diversity & Inclusion

Abridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).

Staying Safe - Protect Yourself From Recruitment Fraud

We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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CEO of Abridge
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Shivdev Rao
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What You Should Know About Data Ops Leader, Annotations & Datasets, Abridge

Join Abridge as a Data Ops Leader specializing in Annotations & Datasets, and help us revolutionize the healthcare landscape! Founded in 2018, Abridge leverages cutting-edge AI technology to streamline medical documentation processes and enhance patient-clinician interactions. As a key player in our dynamic San Francisco team, you will spearhead the development of essential datasets to train and assess our innovative models. This role isn’t just about managing data; it’s about fostering collaboration across AI/ML scientists, product leaders, and legal teams to ensure our data annotation efforts are top-notch. In this collaborative environment, you will be responsible for steering the strategic direction of annotation projects, working with vendors, negotiating deals, and maintaining stringent data privacy and security standards. We’re looking for someone who boasts over 5 years of experience in data operations or annotation, with a knack for leadership and a familiarity with tools that elevate data quality. If you are passionate about healthcare and AI, and ready to take on a vital role that will define the future of medical documentation, we want to hear from you! At Abridge, you’ll find a supportive culture that values learning, creativity, and diversity, along with a competitive salary and benefits to match! Are you ready to embark on this exciting journey with us?

Frequently Asked Questions (FAQs) for Data Ops Leader, Annotations & Datasets Role at Abridge
What are the responsibilities of a Data Ops Leader, Annotations & Datasets at Abridge?

As a Data Ops Leader at Abridge, you will oversee the development and management of datasets essential for training AI models in healthcare. This includes sourcing job specifications, ensuring compliance with data security standards, making strategic vendor decisions, and guaranteeing that all annotation efforts align with product needs.

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What qualifications are required for the Data Ops Leader position at Abridge?

Candidates for the Data Ops Leader position at Abridge should possess over 5 years of experience in data annotation or data operations, with at least 2 years in a leadership role. Familiarity with annotation platforms and experience in a cross-functional startup environment are also crucial for success.

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How does Abridge ensure data privacy and security in the Data Ops Leader role?

The Data Ops Leader at Abridge collaborates closely with the legal and commercial teams to uphold data privacy and security. You'll be responsible for identifying relevant regulations and ensuring all annotation processes comply with these legal obligations while safeguarding sensitive healthcare data.

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What skills are beneficial for a Data Ops Leader specializing in healthcare data at Abridge?

Benefits for a Data Ops Leader at Abridge include strong organizational and project management skills, experience in medical data annotation, and if possible, basic scripting abilities in languages like Python or knowledge of ETL processes and data governance. A background in healthcare data management is a plus.

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What can I expect from the work culture at Abridge as a Data Ops Leader?

At Abridge, you will be part of a diverse, mission-driven team that values collaboration and innovative thinking. The culture promotes learning and personal growth, offering opportunities for retreats, workshops, and a flexible approach to work, ensuring a balance between productivity and creativity.

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Common Interview Questions for Data Ops Leader, Annotations & Datasets
Can you explain your experience with data annotation tools relevant to the Data Ops Leader role at Abridge?

When discussing your experience with data annotation tools, highlight specific platforms you've used, such as Labelbox or Scale AI. Provide examples of how you've leveraged these tools to improve annotation efficiency and the quality of datasets for machine learning models.

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How do you prioritize annotation tasks in a fast-paced startup environment?

In a fast-paced startup like Abridge, effective prioritization is key. Explain your process for evaluating project requirements based on their alignment with strategic goals and resource availability, and emphasize your ability to adapt to shifting priorities while maintaining high-quality results.

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Describe a time when you faced a challenge in data operations and how you overcame it.

Share a specific challenge you've encountered in data operations, detailing the steps you took to resolve it. Emphasize your problem-solving skills and how you collaborated with other teams to navigate the issue, focusing on the positive outcome of the situation.

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What strategies do you use to ensure quality and compliance in data annotation processes?

To ensure quality and compliance, discuss the importance of establishing clear specifications, monitoring quality metrics, and conducting regular audits of annotation work. Highlight any processes you've implemented in the past that have improved data integrity.

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How would you approach vendor selection for data annotation projects at Abridge?

Outline your criteria for vendor selection, which might include evaluating their capabilities, cost-effectiveness, and past performance. Discuss how you would facilitate discussions between stakeholders to ensure that selected vendors align with Abridge's objectives.

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Can you provide an example of how you've collaborated with AI/ML teams in your previous roles?

Provide an example where your collaboration with AI/ML teams led to the successful deployment of annotated datasets. Emphasize your role in clarifying project specifications and how your communication skills helped bridge the gap between technical and non-technical teams.

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What motivates you to work in the healthcare industry?

Express your passion for contributing to healthcare enhancements, especially through the application of AI. Share a personal or professional experience that ignited your interest and how you envision your role making a significant impact on patient care.

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How do you stay current with trends and advancements in data operations and healthcare technology?

Discuss your commitment to continuous learning and professional growth by attending industry conferences, participating in webinars, or engaging with relevant online communities. Creating a routine for reading tech blogs or journals helps maintain your knowledge of ongoing trends.

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How would you handle conflicts within cross-functional teams?

Explain your approach to conflict resolution, emphasizing the importance of active listening and establishing open lines of communication. Provide an example that illustrates your ability to mediate and steer discussions toward collaborative solutions.

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What tools or frameworks are you familiar with that assist in data governance?

Discuss your familiarity with data governance frameworks such as SQL or BigQuery, underscoring your understanding of data stewardship principles and how these tools can help maintain data quality, consistency, and security during annotation processes.

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To encourage understanding and follow-through across every medical conversation.

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Full-time, hybrid
DATE POSTED
January 28, 2025

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