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Data Labeling Jobs in Dallas, TX (NOW HIRING)

HumanSignal

High Volume (TOFU) Recruiter

Dallas, TX · On-site +1

$55K - $100K/yr

... for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step ...

Vailexa

Lead Data Security Architect

Plano, TX

The emphasis is on supporting the client through the work required to classify, tag, label, prioritize, and remediate data security findings in a structured way. This role works alongside the client ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

Required Skills & Qualifications: - 1+ year experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems. - Experience working with 3D spatial data (LiDAR ...

New

CSW Industrials

ERP Data Specialist

Rockwall, TX · On-site

Update and maintain data across JDE and connected systems (EBT, palletizers, labelers, Lisam). * Ensure data consistency and resolve discrepancies across systems. Data Governance & Quality * Enforce ...

INSPYR Solutions

Data & Observability Architect

Dallas, TX · On-site

$200K - $325K/yr

Define and enforce data governance for telemetry (label taxonomy, cardinality budgets, PII handling etc.). * Partner with Platform, Security, and Solution Architecture teams to ensure observability ...

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All JobsData Labeling JobsData Labeling Jobs in Dallas, TX

Data Labeling information

See Dallas, TX salary details

$10

$24

$57

How much do data labeling jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data labeling in Dallas, TX is $24.19, according to ZipRecruiter salary data. Most workers in this role earn between $15.89 and $27.75 per hour, depending on experience, location, and employer.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

How can I get started in data labeling?

To get started in data labeling, you should develop basic computer skills and familiarize yourself with common labeling tools or platforms. Many entry-level positions require attention to detail and sometimes a short training or tutorial before beginning work.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a controlled environment.

Is data labeling a good career?

Data labeling is a growing field within data annotation and machine learning, often involving tasks like image, text, or audio annotation. It can offer entry-level opportunities with flexible schedules, but typically requires attention to detail and familiarity with labeling tools. Career advancement may depend on gaining technical skills or moving into related roles such as data analysis or machine learning engineering.
What are the most commonly searched types of Data Labeling jobs in Dallas, TX? The most popular types of Data Labeling jobs in Dallas, TX are:
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Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Dallas, TX as of August 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 100% In-person job distribution, with an average salary of $50,307 per year, or $24.2 per hour.

Senior Python Engineer - AI Coding Agent Evaluation (Freelance)

Mindrift

Dallas, TX • Remote

$200/hr

Part-time

Posted 23 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:

  • 8+ 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 paidEffort estimate


Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation:
Up to $200/hr equivalent, depending on level and pace. Tasks are estimated at ~30 hours each; you set your own schedule.

Apply