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Data Annotation Manager Jobs in Bee Cave, TX (NOW HIRING)

... management, and workforce solutions. Since 2010, we have built high-performing teams and ... Support integration of AI/ML outputs into broader scientific data analysis, annotation, and ocean ...

Delivery Lead

Austin, TX · Remote

$110K - $140K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

High Volume (TOFU) Recruiter

Austin, TX · On-site +1

$55K - $100K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

Showing results 41-60

Data Annotation Manager information

See Bee Cave, TX salary details

$30.5K

$95.7K

$169.4K

How much do data annotation manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data annotation manager in Bee Cave, TX is $95,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $123,600.00 per year, depending on experience, location, and employer.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a data annotation manager?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What are some common challenges faced by data annotation managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What cities near Bee Cave, TX are hiring for Data Annotation Manager jobs?

Cities near Bee Cave, TX with the most Data Annotation Manager job openings:

Infographic showing various Data Annotation Manager job openings in Bee Cave, TX as of August 2026, with employment types broken down into 83% Full Time, 10% Part Time, and 7% Contract. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $95,661 per year, or $46 per hour.

Project Perseus | Speech & Voice AI Analyst - German Speakers

Welocalize

Austin, TX • On-site

Full-time

Re-posted 7 days ago


Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

337th of 500 rated business services


Job description

Job Summary:
Welo Data is looking for detail-oriented and reliable individuals to join their team as Speech & Voice AI Analysts. This role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets, ensuring consistency and accuracy in data integrity for AI systems.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in German
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
• Must be authorized to work in the U.S. (no visa sponsorship)
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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