Data Annotation Engineer at Abridge

Austin, Texas, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, RoboticsIndustries

Requirements

Understanding of testing processes (functional, regression, smoke, UI/UX) and experience writing clear bug reports
Python skills for data processing and analysis (Pandas, NumPy)
Ability to query databases (experience with ClickHouse is a plus)
Authorized to work in the U.S. (no relocation sponsorship or remote work options)
Nice to Have
Hands-on experience with LiDAR point clouds
Hands-on experience in data annotation or data visualization (preferably with 3D datasets)
Experience using semi-automated labeling tools or active learning methods

Responsibilities

Develop and maintain 3D data labeling pipelines
Collaborate with backend and frontend teams to improve interface usability and the data delivery pipeline
Work with external vendors to ensure consistent data quality standards
Test and evaluate annotation tools to identify bugs, UX issues, and performance bottlenecks
Perform various types of testing (functional, regression, exploratory) on new features
Work closely with developers and product managers to promptly resolve issues
Create and monitor annotation quality metrics, analyze trends, and recommend improvements
Document workflows, best practices, and edge cases for 3D point cloud labeling
Use Python and ClickHouse to analyze data, monitor performance, and support debugging

Skills

Key technologies and capabilities for this role

PythonClickHouse3D AnnotationData Labeling PipelinesTestingQuality MetricsAnnotation Tools

Questions & Answers

Common questions about this position

Is remote work available for this position?

No, remote work options are not available.

What skills are required for the Data Annotation Engineer role?

Required skills include understanding of testing processes (functional, regression, smoke, UI/UX) and experience writing clear bug reports, Python skills for data processing and analysis (Pandas, NumPy), and ability to query databases (ClickHouse experience is a plus).

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Avride?

The company is at the forefront of autonomous mobility, developing self-driving cars and delivery robots, with Data Annotation and Behavior Analysis teams focused on high-quality labeled data and evaluating real-world vehicle behavior to improve performance, safety, and user experience.

What makes a strong candidate for this Data Annotation Engineer position?

Strong candidates will have required skills in testing processes, Python (Pandas, NumPy), and database querying, plus nice-to-haves like hands-on experience with LiDAR point clouds, data annotation or visualization with 3D datasets, and semi-automated labeling tools.

Abridge

AI platform for clinical documentation automation

About Abridge

Abridge provides a platform that changes how medical conversations are documented in healthcare settings. Its main product allows healthcare providers to record patient visits, which are then transformed into organized clinical documents. This helps doctors and other healthcare professionals save time on paperwork, allowing them to concentrate more on caring for their patients. Abridge stands out from its competitors by focusing specifically on the needs of healthcare providers, payers, and pharmaceutical companies, offering a solution that improves both documentation efficiency and patient outcomes. The goal of Abridge is to enhance the quality of patient care while making the documentation process easier for healthcare professionals.

Pittsburgh, PennsylvaniaHeadquarters

2018Year Founded

$201.8MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Medical insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Equity

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

Learning and Development budget

401k Plan

Paid Parental Leave

Flexible working hours

Home Office Budget

Sabbatical Leave

Risks

Rapid expansion may strain Abridge's resources and affect service quality.

Integration challenges with EHR systems could disrupt workflows and data consistency.

Data privacy concerns in AI applications may lead to regulatory scrutiny.

Differentiation

Abridge transforms medical conversations into actionable clinical documentation using AI.

The platform supports over 28 languages and 50+ medical specialties.

Abridge's integration with EMR systems enhances clinician efficiency and patient care.

Upsides

Abridge's partnership with Mayo Clinic expands its reach to over 1 million patients.

The $150 million Series C funding accelerates AI technology development and integration.

Abridge's multilingual capabilities improve communication in diverse patient populations.

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