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Data Annotation Services Jobs in Dallas, TX (NOW HIRING)

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) - Perform manual data annotation and quality assurance (QA) review for perception and VLA (Vision-Language-Action) data, including video ...

HumanSignal

High Volume (TOFU) Recruiter

Dallas, TX · On-site +1

$55K - $100K/yr

Background in marketplace operations, staffing, or workforce platforms About HumanSignal HumanSignal Services specializes in operationally complex, multimodal data collection and annotation ...

HumanSignal

Delivery Lead

Dallas, TX · Remote

$110K - $140K/yr

... data creation to annotation to delivery. We design and create datasets from scratch, recruit and ... HumanSignal Services operates at the intersection of frontier AI research and large-scale human ...

LJB, Inc.

Survey CAD Tech

Richardson, TX · On-site

$65K - $85K/yr

... services. The firm has a 50+ year history of leveraging new technologies to drive innovation and ... annotation guidelines to ensure consistent quality, increased efficiency, and ease of data ...

Semantix

Enterprise Solutions AI Consultant

Dallas, TX · On-site

... including data collection, annotation, and generative AI services-to Fortune 500 leaders. TransPerfect AI offers a premier product suite that addresses the most critical bottlenecks in the AI ...

Caterpillar

Autonomy Positioning Manager

Irving, TX · On-site

$159K - $238K/yr

The Data Pipeline team focuses on the data infrastructure that supports autonomy and robotics programs, including scalable storage and compute platforms, data management services, annotation ...

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Data Annotation Services information

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.

What are the key skills and qualifications needed to thrive in data annotation services?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

What are popular job titles related to Data Annotation Services jobs in Dallas, TX?

For Data Annotation Services jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Data Annotation Services jobs in Dallas, TX look for?

The top searched job categories for Data Annotation Services jobs in Dallas, TX are:

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Cities near Dallas, TX with the most Data Annotation Services job openings:

Data Annotation Services jobs near you

Data Annotator

Expert Technology Services

Irving, TX • On-site

$109K - $132K/yr

Contractor

Posted 17 days ago

Job description

Job Summary (List Format): Data Annotator & QA Reviewer – Autonomy & Robotics (Mining)
- Perform manual data annotation and quality assurance (QA) review for perception and VLA (Vision-Language-Action) data, including video, images, and multi-sensor machine data.
- Annotate mining site entities (e.g., roads, rock piles, vehicles, personnel, machinery) in both 2D and 3D data formats (LiDAR, radar, video).
- Track heavy equipment trajectories and operational states, including motion paths, articulation, bucket/blade actions, and velocity in challenging mining environments.
- Align and fuse data from various sensors (camera, LiDAR, GPS/GNSS, IMU, CAN bus, payload sensors) to maintain accurate spatial and temporal mapping.
- Decompose mining workflows into structured task sequences, labeling actions, operator/machine intent, causations, and outcomes for autonomous system training.
- Model and annotate causal relationships and site-specific triggers (e.g., environmental changes, equipment reactions) in mining operations.
- Tag and verify outcomes of machine actions, comparing expected vs. actual results (e.g., load success, hazard avoidance, maneuver outcomes).
- Conduct rigorous QA audits of labeled datasets, ensuring high accuracy, semantic consistency, and correct handling of mining-specific edge cases (dust, mud, night, glare, underground).
- Provide feedback and update labeling guidelines based on emerging annotation challenges and edge cases.
- Utilize various labeling platforms (CVAT, Labelbox, Scale AI, Supervisely, V7, Encord, etc.) for high-precision data annotation.
- Collaborate with internal and external teams to maintain data quality standards and continuously improve annotation processes.
Required Skills & Qualifications:
- 1+ years of experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems.
- Experience with 3D spatial data (LiDAR, point clouds, depth maps, spatial trajectories, multi-camera feeds).
- Strong attention to detail, especially for complex spatial and environmental scenarios.
- Familiarity with mining operations, heavy equipment, and related safety/operational terminology.
- Technical aptitude with geospatial/sensor data formats (JSON, XML) and labeling tools.
- Ability to breakdown complex workflows into sequenced actions and label accordingly.
- Strong 3D spatial visualization and perception skills.
Desired (Nice to Have):
- Background in Mining Engineering, Robotics, Autonomous Vehicles, or related fields.
- Experience with autonomous haulage systems or industrial robotics VLA models.