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Senior Data Annotation Analyst Jobs in Indiana (NOW HIRING)

Recruitment Room

$20/hr

Data Annotation Generalist Contract Type: Hourly, Independent Contractor Location: Remote ... Analytical mindset and problem-solving skills * Ability to work independently in a remote ...

campus4tech

Senior Data Quality Analyst

Indianapolis, IN · On-site

Senior Data Quality Analyst Job Location: Indianapolis IN, 46204 Job Location: Hybrid Contract Duration: 12 Months Note: W2 and C2C candidates both can apply for the role. Candidate must be currently ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

Position Summary The Senior Data Analyst is responsible to deliver insightful metrics, reports, and dashboards to support our business. The role requires collaboration with other analysts, data ...

Interra Credit Union

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

WHAT YOU WILL DO EVERYDAY As a Senior Data Analyst, you will serve as a strategic analytics partner and an advanced technical contributor, building upon the foundational responsibilities of the ...

Interra Credit Union

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

WHAT YOU WILL DO EVERYDAY As a Senior Data Analyst, you will serve as a strategic analytics partner and an advanced technical contributor, building upon the foundational responsibilities of the ...

Roche

Senior Data Analyst

Indianapolis, IN

$82K - $103K/yr

As a Senior Data Analyst in our Near Patient Care manufacturing environment, you will develop and deliver data analytics solutions that help us understand, monitor and improve product and process ...

New

Old National Bank

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

Data Analyst, Sr Job Locations US-IN-Evansville Category/Function Treasury/Finance Position Type Regular Full-Time Requisition ID 2026-20185 Workplace Type On Site Overview Old National Bank has been ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Old National Bank

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

We are looking for an innovative senior data analytics developer who has a knack for seeing solutions in sprawling data sets across a variety of retail bank systems and products. The incumbent should ...

Old National Bank

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

We are looking for an innovative senior data analytics developer who has a knack for seeing solutions in sprawling data sets across a variety of retail bank systems and products. The incumbent should ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

NAVA Software Solutions

Sr Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

Must be highly analytical and have the proven ability to develop and reverse complex engineering ... Senior Data Architect | Day-to-Day * Assessing current and future states to provide a road map for ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

Engage with business and technical stakeholders to gather, analyze, document, define, and standardize business/data requirements (2%). * Perform or lead Gap Analysis between as-is and to-be systems ...

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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 Indiana? The most popular types of Data Annotation Analyst jobs in Indiana are:
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Senior Data Annotation Analyst jobs near you

Data Annotation Generalist

Recruitment Room

Remote

$20/hr

Contractor

Posted 13 days ago

Job description

Data Annotation Generalist

Contract Type: Hourly, Independent Contractor

Location: Remote

Compensation: $20 per hour

Openings: 600

Role Overview

We are seeking detail-oriented Data Annotation Generalists to support the training of next-generation AI systems. Your work will involve labeling, categorizing, and annotating diverse datasets to ensure accuracy, consistency, and high-quality input for machine learning models.

Key Responsibilities

  • Data Labeling: Annotate and categorize datasets with precision, following project guidelines.

  • Quality Assurance: Review and correct annotations to maintain data integrity.

  • Collaboration: Work with teams to clarify requirements and resolve ambiguities.

  • Documentation: Maintain clear records of annotation workflows.

  • Tool Feedback: Suggest improvements to annotation tools and processes.

  • Communication: Share insights and raise issues effectively through written and verbal channels.

  • Adaptability: Adjust to evolving instructions and new data types.

Required Skills Qualifications

  • Proficiency in data annotation, labeling, or preparation for machine learning

  • Exceptional attention to detail and accuracy

  • Strong written and verbal communication skills

  • Ability to interpret complex instructions consistently across large datasets

  • Experience with annotation tools or platforms used in AI development

  • Analytical mindset and problem-solving skills

  • Ability to work independently in a remote environment

Preferred Qualifications

  • Background in linguistics, computer science, or data science

  • Experience contributing to AI training or NLP projects

  • Familiarity with multiple data types (text, image, audio, video)