ZipRecruiter

Log In

1

Flexible Data Annotation Analyst Jobs in Texas (NOW HIRING)

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Support the development of autonomous mining machines by executing manual data annotation, sensor ... analyze and structure complex heavy machinery interactions into clear task-action-intent-outcome ...

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

YO AI Labs

AI Data Science Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

YO AI Labs

AI Data Science Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

YO AI Labs

AI Finance Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation * Problem-Solving * Independent Research

YO AI Labs

AI Finance Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation * Problem-Solving * Independent Research

YO AI Labs

AI Finance Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation * Problem-Solving * Independent Research

next page

Showing results 1-20

All JobsData Annotation Analyst JobsFlexible Data Annotation Analyst JobsFlexible Data Annotation Analyst Jobs in Texas

Flexible Data Annotation Analyst information

What is a flexible data annotation analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.

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

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a flexible data annotation analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

Can I work as a flexible data annotation analyst with no experience?

Flexible data annotation analyst roles often do not require prior experience, as training is typically provided to teach the necessary skills and tools. Basic computer literacy and attention to detail are usually sufficient to start, making it accessible for beginners interested in data labeling tasks.

Do data annotation jobs offer flexible hours?

Data annotation jobs often offer flexible hours, allowing workers to choose when they complete tasks, especially in freelance or remote roles. However, some positions may have deadlines or specific schedules depending on the employer or project requirements.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, depending on the platform and complexity of tasks. Pay rates can vary based on experience, skill level, and the employer, but generally, it is not considered a high-paying role. Many positions are freelance or part-time, which can impact overall earnings.

Is it hard to get hired for a flexible data annotation analyst?

Getting hired as a flexible data annotation analyst generally depends on having basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the role accessible to a wide range of candidates. However, competition can vary based on the employer and location, and some roles may prefer candidates with prior experience or specific technical knowledge.

What are the most commonly searched types of Data Annotation Analyst jobs in Texas?

The most popular types of Data Annotation Analyst jobs in Texas are:

What are popular job titles related to Flexible Data Annotation Analyst jobs in Texas?

For Flexible Data Annotation Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Flexible Data Annotation Analyst jobs in Texas look for?

The top searched job categories for Flexible Data Annotation Analyst jobs in Texas are:

What cities in Texas are hiring for Flexible Data Annotation Analyst jobs?

Cities in Texas with the most Flexible Data Annotation Analyst job openings:

Flexible Data Annotation Analyst jobs near you

Data Annotator

Expert Technology Services

Irving, TX • On-site

$109K - $132K/yr

Contractor

Posted 11 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.
---
### 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.
---
### 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).
---
### 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.
---
### 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.