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Senior Data Annotation Analyst Jobs in Raleigh, NC

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 ...

Epic Games

Senior Data Scientist

Cary, NC · On-site

ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the ... What You'll Do Epic Games is looking for a Senior Data Scientist to support the meta-progression ...

IVIVA Medical

Senior Data Cloud Engineer

Durham, NC · On-site

$96K - $130K/yr

Senior Data Cloud Engineer California, US residents click here. The job details are as follows: We ... Working closely with brand teams, IT, analytics, compliance, and external partners, this role ...

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All JobsSenior Data Annotation Analyst JobsSenior Data Annotation Analyst Jobs in Raleigh, NC

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 Jul 6, 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.

Is it difficult to get a job at data annotation?

Securing a position as a Senior Data Annotation Analyst typically requires attention to detail, familiarity with annotation tools, and basic understanding of data labeling processes. While some roles may require prior experience or specific skills, entry-level positions are often accessible with relevant training or certifications. The difficulty varies depending on the company's requirements and the competitiveness of the job market.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are considered modest compared to other tech roles, with pay often ranging from minimum wage to around $15-$20 per hour depending on experience and location. While some companies offer bonuses or flexible schedules, overall compensation for entry-level data annotation positions is generally lower than more specialized data science or engineering roles.

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 does a data annotation analyst do?

A data annotation analyst labels and categorizes data such as images, text, or videos to help train machine learning models. They use tools and guidelines to ensure data is accurately annotated, which is essential for developing reliable AI systems. Attention to detail and understanding of data formats are important in this role.

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 is the highest salary for data annotator?

The highest salary for a senior data annotation analyst can reach around $70,000 to $90,000 annually, depending on experience, location, and the complexity of annotation tasks. Advanced roles with specialized skills or certifications may offer higher compensation, especially in competitive tech markets.
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

Senior Data Engineer

Fidelity Investments

Durham, NC • On-site

$102K - $139K/yr

Full-time

Posted 26 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services

Job description


Position Description:
Performs distributed application design and development, using Informatica, Python, SQL, Oracle, and Control M. Designs and architects Cloud native applications using Azure. Develops Extract Transform and Load and Extract Load and Transform (ETL/ELT) strategies. Advances recordkeeping systems by writing complex SQL queries using Oracle Procedural Language/Structured Query Language (PL/SQL). Manipulates large sets of data using relational database technologies -- Oracle SQL and PL/SQL.
Primary Responsibilities:
  • Develops original and creative technical solutions to on-going development efforts.
  • Designs applications or subsystems on major projects and for/in multiple platforms.
  • Develops applications for multiple projects supporting several divisional initiatives.
  • Supports and performs all phases of testing leading to implementation.
  • Assists in the planning and conducting of user acceptance testing.
  • Develops comprehensive documentation for multiple applications supporting several corporate initiatives.
  • Responsible for post-installation testing of any problems.
  • Establishes project plans for projects of moderate scope.
  • Works on complex assignments and often multiple phases of a project.
  • Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Data Engineer (or closely related occupation) performing complex data analysis to design, document, and implement data warehouse and ETL solutions.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Data Engineer (or closely related occupation) performing complex data analysis to design, document, and implement data warehouse and ETL solutions.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") designing, improving performance, and organizing complex SQL queries, procedures, functions, packages, indexes, and partitions for record keeping, using SQL Server, Oracle, MySQL, Teradata, and Netezza; gathering and analyzing requirements, and performing application design and development, using PL/SQL and Informatica; and performing software application testing to meet functional and non-functional requirements, using Shell scripting, Informatica, and SQL.
  • DE performing data lifecycle (implementation, transformation, integration, migration, tuning, and cleansing) using ETL, Informatica, and PowerCenter to create reusable mappings, mapplets, and workflows; identifying and resolving application performance limitations using ETL pipelines, session logs, workflow monitoring, and database profiling techniques; developing, designing, and implementing scalable and efficient data architectures, using data warehousing solutions, Amazon Redshift, Oracle, Snowflake, and ETL processes; performing data cleansing, blending, parsing, and transformations, using Informatica; and conducting automation of these jobs using Autosys and Control M.
  • DE developing shell scripting for data extraction and manipulation to automate the file archive process designed for large batches (including file formatting adjustment and renaming), using Unix and Linux.
  • DE developing job scheduling, job monitoring, troubleshooting, and job flow design, using AutoSys and Control-M.

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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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