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Senior Data Annotation Analyst Jobs in Raleigh, NC

Fidelity Investments

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

... analysis, and tech data support of QE teams. The Expertise and Skills You Bring * Bachelor's or ... As part of the Test Data Management team, the Senior Data Engineer plays a pivotal role in ...

Fidelity Investments

Senior Data Engineer

Durham, NC

$102K - $139K/yr

Performs independent and complex technical and functional analysis for multiple projects supporting ... as a Senior Data Engineer (or closely related occupation) performing complex data analysis to ...

Fidelity Investments

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Performs independent and complex technical and functional analysis for multiple projects supporting ... as a Senior Data Engineer (or closely related occupation) performing complex data analysis to ...

Accenture

Data Protection Sr. Analyst

Raleigh, NC · Hybrid

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members ...

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Senior Data Annotation Analyst information

See Raleigh, NC salary details

$53.5K

$96.5K

$131.7K

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

As of Jun 15, 2026, the average yearly pay for senior data annotation analyst in Raleigh, NC is $96,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $105,500.00 per year, depending on experience, location, and employer.

What are Senior Data Annotation Analysts?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a Senior Data Annotation Analyst, and why are they important?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a Senior Data Annotation Analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

What are the most commonly searched types of Data Annotation Analyst jobs in Raleigh, NC? The most popular types of Data Annotation Analyst jobs in Raleigh, NC are:
What are popular job titles related to Senior Data Annotation Analyst jobs in Raleigh, NC? For Senior Data Annotation Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Senior Data Annotation Analyst jobs in Raleigh, NC look for? The top searched job categories for Senior Data Annotation Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Data Annotation Analyst jobs? Cities near Raleigh, NC with the most Senior Data Annotation Analyst job openings:
Senior Data Annotation Analyst jobs near you

Senior Data Engineer

Fidelity Investments

Durham, NC • On-site

$102K - $139K/yr

Full-time

Posted 4 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services

Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

The Workplace Investment (WI) Test Data Management CoE is looking for a Senior Data Enablement Engineer to lead the evolution of our internal tools and test data ecosystem. This role will focus on enabling QE teams to efficiently discover, understand and access data across non-prod environments. As a technical leader, you will provide mentorship to data engineers and partners with stakeholders to enhance the development and delivery of test data solutions. This position centers on data navigation, test data ecosystem, data discoverability, SQL-driven data scenarios, Python -driven analysis, and tech data support of QE teams.

The Expertise and Skills You Bring

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field

  • 5 years of experience with data analysis, and test data ecosystems

  • Strong hands-on skills in SQL and Python

  • Knowledge of data modeling, data relations, data flows, data governance, and metadata management

  • Familiarity with GitHub, SQL Workbench, Visual Studio and working in Agile development teams

  • Ability to mentor and guide junior data engineers

  • Experience working with QE teams as a plus

  • Strong collaboration, problem-solving, and communication skills

The Value You Deliver

  • You lead test data communication between TDM team and QE teams

  • You ensure high data quality and consistency by maintaining and validating test data scenarios

  • You collaborate with partner's teams to understand complex data relations, data needs , increase data visibility, and provide test-ready data

  • You manage test data creation and modification using existing tools and scripts

  • You mentor junior data engineers and promote best practices in test data engineering

  • You partner with product owners and stakeholders to enhance the roadmap of test data tools and workflows

  • You proactively identify process gaps and lead initiatives to improve automation and efficiency across test data platforms, to ensure data and environment stability

The Team

The WI QE Center of Excellence (CoE) drives engineering excellence and platform stability across WI squads. As part of the Test Data Management team, the Senior Data Engineer plays a pivotal role in delivering clean, scalable, and reliable test data across BU. You'll work closely with engineering leads, QE teams, and TDS contributors to enable faster, safer, and smarter testing through data.

Certifications:Category:Information Technology

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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