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Senior Data Annotation Analyst Jobs in Indiana (NOW HIRING)

blueStone

Sr. Business Analyst

Indianapolis, IN

$88K - $114K/yr

The Sr. Business Analyst will serve as a leader in data analysis to collaborate with clients and management to enhance the value of our client's products and services. The qualified candidate will be ...

NiSource

Sr. Data Visualization Developer

Merrillville, IN · On-site

$96K - $144K/yr

Sr. Data Visualization Developer Full Time Perm Salary: $96,600 - $144,900, plus 8% annual bonus ... Applies problem-solving skills and analytical thinking to troubleshoot issues, resolves conflicts ...

Jj

Senior Analyst, Commercial Data Strategies

Warsaw, IN

$82K - $104K/yr

Senior Analyst, Commercial Data Strategies is responsible for supporting the design and implementation of data systems and analysis that provides the strategic framework to support the Commercial ...

New

CSpring

Senior Data Consultant

Indianapolis, IN · On-site

We have an immediate opening for a Senior Data Consultant. If the idea of working on challenging ... Design, develop, update, and integrate high-quality, data analytics solutions based on client ...

GE Aerospace

Sr Data Visualization Engineer

Terre Haute, IN · On-site

$108K - $130K/yr

GE Aerospace is a leading company in the aerospace industry, seeking a Sr Data Visualization ... analysis for mapping source inputs and assist in design strategy for data modeling • Daily ...

Aircall

Senior Data Scientist

Francisco, IN · On-site +1

$170K - $220K/yr

You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation. Your Mission @ Aircall: * Partner with product and ...

Group1001

Senior Data Engineer

Zionsville, IN · On-site

$102K - $139K/yr

Why This Role Matters: The Senior Data Engineer at Group 1001 will play a critical role in ... and analytics initiatives * Architect scalable data solutions that handle growing volumes of ...

ManTech International

Senior Database Analyst

Crane, IN · On-site

$86K - $108K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Senior Database Administrator to join our ...

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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.
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Senior Data Annotation Analyst jobs near you
Sr. Business Analyst

Sr. Business Analyst

blueStone

Indianapolis, IN

$88K - $114K/yr

Full-time

Re-posted 4 days ago

Job description

Company Description

blueStone Executive Search specializes in technical searches, aligning top IT professionals with superior companies worldwide,

Job Description

We are seeking an experienced Sr. Data or Business Analyst on a full-time, permanent basis for our client, a recognized and viable $350M+ organization, a leader in their vertical - nationally. The Sr. Business Analyst  will serve as a leader in data analysis to collaborate with clients and management to enhance the value of our client's products and services. The qualified candidate will be responsible for the following:
Sr. Business Analyst Essential Duties:

  • Develop data requirements to based on customer feedback and definition.
  • Deliver data products in presentation format to customers.
  • Work on ad-hoc data requests.
  • Explain data pulls and reporting to IT and business users to validate requirements are correct and understood. 
  • Maintain working relationships with internal and external customers and resolve issues that may arise. 
  • Quarterly and monthly analysis, including variance analysis. 
  • Conduct projects and participate in problem solving and improvement team activities.
  • Perform data analysis and business acumen to document the business/technical requirements needed to develop effective data-feed interfaces. 
  • Collaborate with clients and management to enhance the value of our products and services. 
  • Build cross-departmental understanding of the importance of data quality, completeness, and timeliness. 
  • Determine and analyze customer requirements, use system data, and provide input needed by various departments and senior management to produce business and scientific reports. 
  • Research and develop analysis of new product ideas. 
  • Operates with minimal supervision
Qualifications
  • Bachelor's degree.
  • Working knowledge of SQL and Excel required and knowledge of VBA and statistical languages preferred. 
  • Minimum of 4 years in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation. 
  • Proven ability to work independently through analysis of data to identify business trends, opportunities, and anomalies. 
  • Intuition for and experience with predictive modeling a plus.
Additional Information

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