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Flexible Data Annotation Analyst Jobs in Spring, TX

Video & Data Annotation * Action Recognition * Hand-Pose Analysis * Quality Assurance * Attention to Detail * Video Annotation Tools * Strong English Reading & Writing * Written & Verbal ...

New

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

New

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

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

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

... analytical, materials science, etc.) and the ability to adapt explanations for diverse audiences ... Experience with AI, data annotation, or digital content development projects is advantageous but ...

New

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ... Excellent critical thinking, analytical reasoning, and structured problem-solving abilities.

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Showing results 1-20

Flexible Data Annotation Analyst information

See Spring, TX salary details

$30.3K

$73.5K

$121K

How much do flexible data annotation analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for flexible data annotation analyst in Spring, TX is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

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 popular job titles related to Flexible Data Annotation Analyst jobs in Spring, TX?

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

What job categories do people searching Flexible Data Annotation Analyst jobs in Spring, TX look for?

The top searched job categories for Flexible Data Annotation Analyst jobs in Spring, TX are:

What cities near Spring, TX are hiring for Flexible Data Annotation Analyst jobs?

Cities near Spring, TX with the most Flexible Data Annotation Analyst job openings:

Video Annotation Expert - Remote

Houston, TX • Remote

$15 - $20/hr

Full-time

Posted 2 days ago

New


Job description

Video Annotation Expert

Role Type: Contractor
Location: Remote

About the Role

We are looking for detail-oriented professionals to support AI training and evaluation through high-quality video annotation. You'll review video data, validate annotations, and provide feedback to improve AI understanding of human actions and hand movements.

Key Responsibilities
  • Review video annotations for accuracy, consistency, and completeness.
  • Identify and correct issues in action and hand-pose annotations.
  • Evaluate English-language annotations against project guidelines.
  • Validate video data and maintain high-quality standards.
  • Document findings and provide clear feedback.
  • Complete tasks independently within project timelines.
Required Skills
  • Video & Data Annotation
  • Action Recognition
  • Hand-Pose Analysis
  • Quality Assurance
  • Attention to Detail
  • Video Annotation Tools
  • Strong English Reading & Writing
  • Written & Verbal Communication
  • Self-Motivation
Preferred Qualifications
  • Experience working with video annotation tools or large video datasets.
  • Familiarity with action recognition, hand-pose analysis, or similar annotation projects.
  • Ability to follow detailed guidelines consistently.
  • Strong organizational skills and ability to manage deliverables independently.