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Senior Data Annotation Analyst Jobs in Ohio (NOW HIRING)

As a Senior Data Scientist, you'll serve as a technical leader and strategic partner, designing ... You'll influence architecture decisions, guide analytics strategy, and mentor other team members ...

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain ...

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain ...

Location: 4910 Tiedeman Road, Brooklyn Ohio Job Summary The Enterprise Data Quality team at KeyBank is seeking a highly motivated and detail-oriented Data Quality Senior Analyst to lead the daily ...

Location: 4910 Tiedeman Road, Brooklyn Ohio Job Summary The Enterprise Data Quality team at KeyBank is seeking a highly motivated and detail-oriented Data Quality Senior Analyst to lead the daily ...

The Senior Data Scientist- AI, contributes to building and developing the organization's data ... Performs advanced analytics methods to extract value from business data.* Performs large-scale ...

New

ClifyX is seeking a Senior Data Scientist to enhance their AI-driven systems. The role involves ... for data analysis and manipulation. • Proficiency with statistics, design of experiments ...

Showing results 41-60

Senior Data Annotation Analyst information

What is a senior data annotation analyst?

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?

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 Ohio? The most popular types of Data Annotation Analyst jobs in Ohio are:
What cities in Ohio are hiring for Senior Data Annotation Analyst jobs? Cities in Ohio with the most Senior Data Annotation Analyst job openings:

Senior Data Business Analyst

Great American Insurance Group

Cincinnati, OH • On-site

$82K - $104K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

57th of 303 rated insurance


Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
The Crop Division of Great American has been helping generations of farmers take control of their risks since 1915. The Division is also one of a select few private companies authorized by the United States Department of Agriculture Risk Management Agency (USDA RMA) to write MPCI policies. With six regional offices throughout the U.S., the teams provide tremendous expertise in the specific needs of farmers and crops.
As one of the largest Crop insurers in the country, Great American is recognized as a leader in this specialized marketplace. We are seeking a strategic and dynamic leader to join our GREAT team.
https://www.greatamericancrop.com/
Great American's culture is built on connection, shared learning, and strong relationships. This is a hybrid role that combines in-office and remote work. Employees are expected to maintain a meaningful on-site presence to support collaboration, relationship building, and business success.
Essential Job Functions and Responsibilities:
- Protect compliance and minimize financial exposure by detecting, triaging, and resolving processing errors with rigor and speed, prioritizing items with imminent cutoff impacts, communicating status and decisions to stakeholders, and identifying and implementing prevention measures that reduce error incidence over time.
- Monitor, prioritize, analyze, and resolve daily error feeds/queues, keeping stakeholders informed of progress.
- Coordinate with upstream/downstream teams to implement fixes and champion prevention initiatives
Ensure timely, accurate, and compliant implementation of Crop Insurance requirements by proactively tracking changes, coordinating cross-functional delivery, validating technical changes with rigorous testing, communicating downstream impacts to stakeholders, and keeping the knowledge base and documentation current.
- Draft clear technical specifications referencing record layouts, field definitions, validations, and cross-field rules.
- Author test plans/cases (positive/negative, regression) and document results.
- Maintain knowledge base and system documentation.
- Facilitate demos or reviews with IT and business teams.
Leverage SQL effectively to access, analyze, and validate data by writing accurate, efficient queries; applying appropriate performance techniques; and continuously improving data quality, insight delivery, and business outcomes.
- Write intermediate to advanced SQL queries, with security and optimization given the highest attention.
- Validate and reconcile data across multiple sources and business expectations.
- Troubleshooting data discrepancies, quality, and/or performance issues.
- Document query logic and assumptions clearly.
- Develop reusable query assets for recurring analysis or reporting.
Deliver reliable, responsive, and compliant customer support by managing and prioritizing requests, resolving user issues and questions, improving self-service resources, and analyzing trends to proactively reduce incidents and improve customer experience and business outcomes.
- Manage request queues, discussions, and workflows.
- Serve as point-of-contact for key business partners; manage expectations and timelines.
- Solve issues and requests for responsbility areas.
- Drive automation and AI-assisted triage where appropriate.
Minimum Qualifications:
- Bachelor's degree in Business, Information Technology, Computer Science, Agriculture, Agronomy, Agricultural Economics, or related field
- Combined 5+ years of:
- Business analysis experience including requirements elicitation, process modeling, and system implementation
- Data analysis experience with demonstrated SQL and analytical capabilities
- Strong analytical and problem-solving abilities
- Excellent written and verbal communication skills
- Proficiency with Microsoft Office Suite
- Ability to learn new technical tools and methodologies quickly
Preferred Qualifications:
- 10+ years of combined business analysis and data analysis experience
- Knowledge of crop insurance programs, agricultural risk management, or farming operations
- Experience leading complex, enterprise-level initiatives
- Experience with both Agile and Waterfall methodologies
- Data visualization tools experience (Tableau, Power BI)
- Previous mentoring or team leadership experience
Business Unit:
Crop
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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