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Data Annotation Engineer Jobs in Southlake, TX (NOW HIRING)

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Support the development of autonomous mining machines by executing manual data annotation, sensor ... Engineering, Geotechnical Engineering, Robotics, Autonomous Vehicles, or related fields ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) - Perform manual data annotation and ... Desired (Nice to Have): - Background in Mining Engineering, Robotics, Autonomous Vehicles, or ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... annotation and rigorous QA review for perception (video, images, sensor data) and VLA (Vision ... Preferred/Bonus Qualifications: - Background in Mining Engineering, Geotechnical Engineering ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Perception annotation: video, images, machine sensor data that describe objects, 3D, trajectory ... Desired Skills & Experience - Nice to have Background in Mining Engineering, Geotechnical ...

... Data Annotation & QA Review - Annotate and QA review multi-modal data: video, images, 3D point ... Desired/Bonus Experience - Background in mining engineering, geotechnical engineering, robotics ...

Required Skills & Qualifications: - 1+ year experience in data annotation, labeling, or QA for ... Desired/Bonus Skills: - Background in Mining Engineering, Geotechnical Engineering, Robotics ...

Data Scientist

Grapevine, TX · On-site

$130 - $200/hr

Collaborate with cross-functional teams including product managers, engineers, and data teams * Analyze data quality, perform dataset annotation/augmentation, and troubleshoot model performance ...

Data Scientist

Frisco, TX · On-site

$120 - $180/hr

This role sits at the intersection of data science and AI engineering -- you'll own the science of ... Familiarity with annotation workflows and data quality frameworks * AI/LLM Evaluation: * Hands-on ...

JAVA Developer

Dallas, TX

$50.50 - $65.25/hr

JAVA Developer Location: Texas Job Type: Full Time Job Opportunity Required Skills: - Spring ... annotation based as well as XML based config). - Hibernate 4 with Spring Data JPA - J2EE ...

... engineers and Tesla AI leadership and own annotation policies that require an understanding of both technical and operational constraints • Have a solid understanding of project guidelines to be ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Delivery Lead

Dallas, TX · Remote

$110K - $140K/yr

... data creation to annotation to delivery. We design and create datasets from scratch, recruit and ... Partner with Product and Engineering to evolve internal tooling, automation, and operational ...

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Data Annotation Engineer information

See Southlake, TX salary details

$48.5K

$138.8K

$185.5K

How much do data annotation engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data annotation engineer in Southlake, TX is $138,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $184,500.00 per year, depending on experience, location, and employer.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Southlake, TX? For Data Annotation Engineer jobs in Southlake, TX, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Southlake, TX look for? The top searched job categories for Data Annotation Engineer jobs in Southlake, TX are:
What cities near Southlake, TX are hiring for Data Annotation Engineer jobs? Cities near Southlake, TX with the most Data Annotation Engineer job openings:
Infographic showing various Data Annotation Engineer job openings in Southlake, TX as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $138,839 per year, or $66.7 per hour.

Data Annotator

Expert Technology Services

Irving, TX • On-site

$109K - $132K/yr

Contractor

Posted 4 days ago


Job description

Job Summary (List Format): Data Annotator & QA Reviewer (Autonomy & Robotics)
Main Purpose:
Support the development of autonomous mining machines by executing manual data annotation, sensor data fusion, and rigorous QA review, creating high-quality datasets for advanced AI models.
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### Key Responsibilities:
- Perception & Sensor Data Annotation
- Annotate objects and features in video, images, and 3D sensor data (LiDAR, radar) related to mining environments.
- Precisely label spatial entities (haul roads, rock piles, machinery, vehicles, personnel) in both 2D and 3D data.
- Track and annotate the motion and orientation of heavy equipment in operational scenarios.
- Align and cross-reference multi-sensor data (visual, GPS/GNSS, IMU, CAN bus, hydraulic sensors) for accurate mapping.
- Vision-Language-Action (VLA) Annotation
- Decompose and label complex mining tasks into detailed actions, intents, and outcomes.
- Annotate machine/operator intent (e.g., maneuver decisions, speed adjustments) and chain of causation in operational sequences.
- Tag environmental triggers and verify expected vs. actual outcomes of mining activities.
- Quality Assurance (QA) & Audit
- Conduct high-precision QA audits of annotated datasets, focusing on edge cases (e.g., dust, poor lighting, complex terrain).
- Ensure temporal consistency and correct semantic labeling throughout data sequences.
- Provide feedback and help update labeling guidelines as new mining scenarios arise.
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### Required Skills & Qualifications:
- 1+ years of experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems.
- Experience working with 3D spatial data (LiDAR, depth maps, multi-camera feeds).
- Familiarity with standard labeling software (e.g., CVAT, Labelbox, Scale AI, Supervisely, V7, Encord).
- Ability to analyze and structure complex heavy machinery interactions into clear task-action-intent-outcome flows.
- Comfortable handling geospatial and structured data formats (JSON, XML).
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### Key Technical & Soft Skills:
- Understanding of mining operations, heavy equipment, and pit safety.
- Strong 3D spatial visualization and attention to detail, especially in challenging visibility conditions.
- Effective communication for providing feedback and updating annotation guidelines.
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### Desired/Preferred Experience (Nice to Have):
- Background in Mining Engineering, Geotechnical Engineering, Robotics, Autonomous Vehicles, or related fields.
- Experience with autonomous haulage systems, telemetry logs, or industrial robotics VLA models.