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Senior Data Annotation Analyst Jobs in Tennessee

Federal Express Corporation

Sr. Data Analyst

Memphis, TN

$76K - $96K/yr

Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based management to drive decision making. * Mentors less senior staff. * Works in cross functional projects and ...

Stantec

Senior Data Architect

Nashville, TN · On-site

$65 - $87/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Experience: 10+ years of experience in data architecture, data analysis, or related IT roles, with ...

FOCUSPOINT

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

Senior Data Engineer (Azure / Databricks) Location: Multiple U.S. locations (client sites vary ... Monitor pipelines, troubleshoot issues, and perform root‑cause analysis. * Optimize Databricks ...

FOCUSPOINT

Senior Data Engineer (Remote)

Nashville, TN · On-site

$110K - $132K/yr

Senior Data Engineer (Azure / Databricks) Location: Remote Employment Type: Full time Compensation ... Monitor pipelines, troubleshoot issues, and perform root‑cause analysis. * Optimize Databricks ...

Specialy Care

Senior Data & Reporting Analyst

Brentwood, TN · On-site

$81K - $102K/yr

Identify, analyze, interpret, and communicate trends or patterns in complex data set(s). * Audit and clean data by reviewing computer reports, printouts, and performance indicators to locate and ...

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Senior Data Annotation Analyst information

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 Tennessee? The most popular types of Data Annotation Analyst jobs in Tennessee are:
What are popular job titles related to Senior Data Annotation Analyst jobs in Tennessee? For Senior Data Annotation Analyst jobs in Tennessee, the most frequently searched job titles are:
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Senior Data Annotation Analyst jobs near you

Sr. Data Analyst

Federal Express Corporation

Memphis, TN

$76K - $96K/yr

Other

Re-posted 27 days ago

Job description

  • Under moderate supervision, designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, and analysis to enable informed business decisions.
  • Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources.
  • With moderate direction, creates solutions from initial concept to production.
  • Communicates results to a broad range of audiences.
  • Effectively uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis.
  • Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based management to drive decision making.
  • Mentors less senior staff.
  • Works in cross functional projects and programs.
  • Routinely presents to management. 

Master's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance plus 3 years of work experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development, and/or predictive analytics. As an equivalent alternative, the employer will accept a Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance plus 5 years of work experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development, and/or predictive analytics.  


Requirements

The position requires experience with:

  • Enterprise-scale storage capacity planning and analytics, including Dell ECS object storage management and capacity planning and Dell PowerScale (Isilon) NAS storage management and capacity planning.
  • The role requires the ability to analyze and plan storage capacity across both object and NAS storage platforms, including evaluating architectural tradeoffs, data protection and redundancy models, performance considerations, and capacity efficiency to align storage solutions with diverse application and business requirements.
  • The position further requires experience analyzing raw versus usable capacity, forecasting storage growth trends, and assessing metadata and system overhead in highly available data center environments.
  • The role also requires experience developing advanced analytics, reporting, and data visualizations using Power BI to communicate capacity utilization, trends, and recommendations to technical and management audiences.
  • Experience extracting and analyzing infrastructure and service management data from ServiceNow (PDSM). Advanced proficiency in Microsoft Excel for quantitative analysis and modeling.
  • Ability to collaborate cross-functionally with architects, engineers, operations teams, and application stakeholders to translate business requirements into effective capacity planning solutions.
  • This position is eligible for telecommuting and may be located anywhere within the United States excluding Alaska, Hawaii and U.S. territories.

EEO Statement

Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. 

Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

  • Know Your Rights
  • Pay Transparency
  • Family and Medical Leave Act (FMLA)
  • Employee Polygraph Protection Act


E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

  • E-Verify Notice (bilingual)
  • Right to Work Notice (English) / (Spanish)


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