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Data Labelling Jobs in Frisco, TX (NOW HIRING)

... data labeling experience - Familiarity with tax software (TurboTax, Drake, ProSeries) - Experience writing tax guidelines or training materials

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 ...

Properly route, label, and secure cables to ensure a clean, organized, and efficient data center layout. * Equipment Testing: Ensure that installed equipment is powered on and functioning correctly ...

Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis ... Project will involve complex excel formulas and ability to synthesize large data sets into ...

... label products, including Allsup's deep-fried burrito. Through strategic acquisitions, new store ... Analyze sales, inventory, and customer data to identify trends, opportunities, and risks. * Develop ...

Create installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers What You Will Need Required Qualifications * 2+ ...

Create installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers What You Will Need Required Qualifications * 2+ ...

... label products, including Allsup's deep-fried burrito. Through strategic acquisitions, new store ... Analyze sales, inventory, and customer data to identify trends, opportunities, and risks. * Develop ...

Showing results 21-40

Data Labelling information

See Frisco, TX salary details

$43.1K

$154.4K

$227.9K

How much do data labelling jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data labelling in Frisco, TX is $154,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $159,100.00 per year, depending on experience, location, and employer.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.

What is a data labelling?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

How much do data labelers get paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Some positions may offer project-based pay or bonuses for accuracy and efficiency.

What are the typical daily responsibilities of a data labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

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

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

What are data labeling jobs?

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

How can I get started in data labeling?

To start in data labeling, gain familiarity with common tools like labeling software and understand data annotation standards. Building attention to detail and basic knowledge of the data types you will label, such as images or text, is essential. Many entry-level roles require no formal certification but may prefer candidates with basic computer skills and the ability to follow detailed instructions.
What are popular job titles related to Data Labelling jobs in Frisco, TX? For Data Labelling jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Data Labelling jobs in Frisco, TX look for? The top searched job categories for Data Labelling jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Data Labelling jobs? Cities near Frisco, TX with the most Data Labelling job openings:
Infographic showing various Data Labelling job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $154,446 per year, or $74.3 per hour.

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Re-posted 4 days ago


Job description

Role: Tax SME for AI Training & Annotation
Experience: 5+ years in US Tax -
Location:

  1. Austin, TX
  2. Richardson, TX
  3. Houston, TX
  4. Bellevue, WA
  5. Bridgewater, NJ
  6. Hartford, CT
  7. Indianapolis, IN
  8. Lisle, IL
  9. Milwaukee, WI
  10. Raleigh, NC
  11. Tempe, AZ

Must Have:
  - Deep knowledge of US Federal & State Tax rules
  - Corporate / Business Tax (entity structures, deductions, filing requirements)
  - Individual / Personal Tax (1040, credits, deductions, capital gains)
  - Ability to review & validate AI-generated tax responses for accuracy
  - Annotate, label & correct tax scenarios, rules & edge cases
  - Identify errors, ambiguities & hallucinations in AI outputs
  - Strong written communication — clear, precise explanations
Nice to Have:
  - CPA / EA certification
  - Prior AI annotation/data labeling experience
  - Familiarity with tax software (TurboTax, Drake, ProSeries)
  - Experience writing tax guidelines or training materials