ZipRecruiter

Log In

1

Ai Data Labeling Jobs in Spring, TX (NOW HIRING)

Accenture

Data Protection Consultant

Houston, TX · On-site

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Accenture

Data Protection, Manager

Houston, TX

$150K - $178K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

AA2IT

Tape Librarian

Houston, TX · On-site

... labels for all tapes) • Verify all disks/tapes for outgoing client shipments. • Register all ... Aamazing IT offers IT solutions, Salesforce consulting, AI, data analytics, and staffing services.

Accenture

Data Protection, A/SA-Evergreen

Houston, TX · On-site

$84K - $100K/yr

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

next page

Showing results 1-20

All JobsAi Data Labeling JobsAi Data Labeling Jobs in Spring, TX

Ai Data Labeling information

What is an AI data labeling?

An AI Data Labeling job involves annotating or tagging data (such as images, text, audio, or video) to train machine learning models. Labelers categorize, classify, or highlight data based on specific guidelines to help AI understand patterns and make accurate predictions. This process is crucial for supervised learning, where models learn from labeled examples. AI Data Labeling jobs are common in industries like healthcare, finance, and autonomous vehicles. Attention to detail and consistency are key skills for success in this role.

What does an AI data labeling do?

As an AI Data Labeling professional, your primary responsibilities include reviewing raw images, audio, or text data and accurately tagging or classifying them based on set guidelines provided by your employer. You may also be required to flag ambiguous cases or data anomalies and provide feedback to improve labeling instructions. Collaboration with data scientists or machine learning engineers is common to ensure your work aligns with project needs. Maintaining high accuracy while meeting productivity goals is essential for success in this role.

What are the key skills and qualifications needed to thrive in AI data labeling?

To thrive as an AI Data Labeling professional, you need strong attention to detail, analytical thinking, and the ability to follow precise guidelines, typically backed by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or internal labeling platforms, as well as basic understanding of data privacy practices, is often required. Patience, reliability, and good communication skills are important soft skills for consistently delivering high-quality labeled datasets and working effectively with team members. These skills ensure accurate data preparation for training AI models, directly impacting the model’s performance and the success of machine learning projects.

What job categories do people searching Ai Data Labeling jobs in Spring, TX look for?

The top searched job categories for Ai Data Labeling jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ai Data Labeling jobs?

Cities near Spring, TX with the most Ai Data Labeling job openings:

Ai Data Labeling jobs near you
Infographic showing various Ai Data Labeling job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Evaluation Engineer (Python, QA or Security)

Houston, TX • Remote

Mindrift
See more jobs at Mindriftexternal

$50/hr

Part-time

Posted 20 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.

You'll create challenging tasks and evaluation criteria within realistic simulated environments:

  • Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
  • Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
  • Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient
  • Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust

What this is NOT

  • Not data labeling
  • Not prompt engineering
  • Not writing code from scratch - the agent writes most of the code; you guide and evaluate

What we look for

  • 5+ years in software development
  • Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis
  • Experience writing tests (functional, integration)
  • English proficiency - B2+

Why this is hard 

Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.

How it works 

Apply Pass qualification(s) Join a project Complete tasks Get paid 

Compensation 

Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.

Apply