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Flexible Data Annotation Tech Jobs in Raleigh, NC

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

... a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data ...

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

... a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data ...

... a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data ...

The Libraries supports flexible work arrangements based on departmental and operational needs. This ... Hunt Jr. Library on NC State's Centennial Campus , offers access to advanced technologies that are ...

Data Engineer

Raleigh, NC · On-site

$55 - $60/hr

... and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term ... One of the Largest IT Staffing Firms in the US - Ranked #3 by Staffing Industry Analysts (SIA, 2024)

Support the development and review of all program data for integrity and align IT strategy to ... Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings ...

Support the development and review of all program data for integrity and align IT strategy to ... Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings ...

Support the development and review of all program data for integrity and align IT strategy to ... Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings ...

Senior AI FinOps Data Analyst

Raleigh, NC · On-site +1

$88K - $141K/yr

Bachelor's degree in Information Technology, Data Analytics, Computer Science, or a related field ... Benefits Comprehensive medical, dental, and vision coverage Flexible Spending Account - healthcare ...

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

... a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data ...

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

... a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data ...

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

... a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data ...

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

... a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data ...

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

... a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data ...

Strong proficiency with relational databases, SQL, and data storage technologies, including ... Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit ...

Strong proficiency with relational databases, SQL, and data storage technologies, including ... Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit ...

Showing results 21-40

Flexible Data Annotation Tech information

See Raleigh, NC salary details

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$22

$33

How much do flexible data annotation tech jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for flexible data annotation tech in Raleigh, NC is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $26.39 per hour, depending on experience, location, and employer.

Can I do data annotation with no experience?

Data annotation roles often do not require prior experience, as training is typically provided to teach specific labeling tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Over time, developing familiarity with annotation software and understanding data types can improve efficiency and accuracy.

What are some common challenges faced by flexible data annotation techs, and how can they be addressed?

Flexible Data Annotation Techs often encounter challenges such as maintaining consistency across large volumes of data, adapting to evolving project guidelines, and managing tight deadlines. To address these challenges, it's important to establish clear communication with project leads, regularly review annotation protocols, and utilize available training resources. Building strong attention to detail and staying organized can also help ensure high-quality outputs and job satisfaction.

What is the difference between Flexible Data Annotation Tech vs Data Labeler?

AspectFlexible Data Annotation TechData Labeler
CredentialsBasic computer skills, training in annotation toolsBasic education, sometimes specific software training
Work EnvironmentRemote or on-site, tech-focusedPrimarily remote or on-site, data processing settings
Industry UsageAI, machine learning, data scienceAI, machine learning, data preparation
Job FocusApplying labels to datasets using annotation toolsLabeling data according to guidelines

Flexible Data Annotation Tech roles involve using specialized tools to annotate datasets for AI training, often requiring some technical training. Data Labelers focus on applying labels to data, typically with less technical complexity. Both roles are essential in AI development but differ mainly in technical requirements and scope.

What are the key skills and qualifications needed to thrive as a flexible data annotation tech, and why are they important?

To thrive as a Flexible Data Annotation Tech, you need attention to detail, accuracy, and a basic understanding of data labeling or annotation processes, often requiring at least a high school diploma. Familiarity with annotation platforms, data labeling tools, and productivity software is typically necessary, and experience with machine learning datasets can be advantageous. Strong time management, communication, and adaptability help you excel in collaborative and ever-changing project environments. These skills ensure high-quality, consistent data output that directly impacts the performance of AI and machine learning systems.

What is a flexible data annotation tech?

Flexible Data Annotation Tech jobs involve labeling, categorizing, or tagging data—such as images, text, audio, or video—to help train machine learning models. These roles are often remote or offer flexible schedules, making them appealing for those seeking adaptable work hours. Tasks can include identifying objects in photos, transcribing audio, or sorting information based on specific guidelines. The work is essential for improving the accuracy of artificial intelligence systems by providing them with high-quality annotated data. No advanced technical skills are usually required, but attention to detail and reliability are important.
What are the most commonly searched types of Data Annotation Tech jobs in Raleigh, NC? The most popular types of Data Annotation Tech jobs in Raleigh, NC are:
What are popular job titles related to Flexible Data Annotation Tech jobs in Raleigh, NC? For Flexible Data Annotation Tech jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Flexible Data Annotation Tech jobs in Raleigh, NC look for? The top searched job categories for Flexible Data Annotation Tech jobs in Raleigh, NC are:
Infographic showing various Flexible Data Annotation Tech job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $46,186 per year, or $22.2 per hour.

Consulting Data Engineer

RELX Group plc

Raleigh, NC • On-site

$104K - $174K/yr

Full-time

Re-posted 25 days ago


Job description

About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role
Do you love collaborating with teams to solve complex technical problems?
We are seeking a Consulting Data Engineer to join our team in Raleigh, NC. This position provides assistance and input to management, develops and leads large multi-functional development activities, solves complex technical problems, writes complex code for computer systems, and serves as a senior source of expertise. The position may also provide sizing or budget recommendations to management.
Responsibilities:
  • Serve as a primary technical point of contact for external technology resources.
  • Work directly with customers and end users.
  • Serve as acknowledged "go to" person on coding, technical, and data management issues.
  • Interface with other technical personnel or team members to document, interpret, and finalize requirements.
  • Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc.
  • Write and review portions of detailed specifications for the development of system components of moderate complexity.
  • Complete complex bug fixes and technical issues. Report issues and results, researching and identifying root causes as appropriate, documenting accordingly.
  • Design and work with complex data models.
  • Mentor lead data engineers interested in consultancy on development methodologies and optimization techniques.
  • Work with QA/Testing staff, project managers, technical leads, and subject matter experts to plan and execute automated and performance tests.
  • Develop and execute automated and performance scripts for assigned projects to successfully and consistently enable delivery of high-quality products and services on time, on budget, and to specification.
  • Conduct code and project reviews, ensuring review criteria are defined, and implement procedures for ensuring quality control of project deliverables.

Requirements:
  • 10+ years engineering experience, data strategy experience and data management required.
  • Bachelor's Degree (Engineering/Computer Science preferred but not required); or equivalent experience required
  • Software development process expert in applicable methodologies (e.g., Agile, Waterfall).
  • Expertise in industry technology language development trends.
  • Expertise in data engineering and maintenance including techniques for applying best practices for overall project benefit.
  • Proven expertise in the use and development of applicable desktop tool sets.
  • Proven expert in partnering and leading internal and external technology resources in solving complex business needs.
  • Strong interpersonal skills.
  • Solid knowledge of architectural principles.
  • Ability to partner and lead internal and external technology resources in solving complex business needs.
  • Excellent proficiency with data manipulation language including optimization techniques.
  • Expertise in development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, UNIX, .Net., HPCC.

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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