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Technical Data Annotation Analyst Jobs in Ohio (NOW HIRING)

CESO, Inc.

Data Architect

Akron, OH · On-site

$61 - $78.50/hr

... analytics, operational excellence, and AI initiatives. The Data Architect translates business requirements into technical data solutions, establishes architecture standards, and ensures enterprise ...

CESO, Inc.

Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

... analytics, operational excellence, and AI initiatives. The Data Architect translates business requirements into technical data solutions, establishes architecture standards, and ensures enterprise ...

CESO, Inc.

Data Architect

Dayton, OH · On-site

$62 - $79.75/hr

... analytics, operational excellence, and AI initiatives. The Data Architect translates business requirements into technical data solutions, establishes architecture standards, and ensures enterprise ...

Mcjcohio

DATA ANALYST

Dayton, OH · On-site

The Data Analyst also provides technical assistance and training related to data entry standards, reporting procedures, and system enhancements to improve data integrity throughout the organization ...

Montgomery County, Ohio

DATA ANALYST

Dayton, OH · On-site

$69K/yr

The Data Analyst also provides technical assistance and training related to data entry standards, reporting procedures, and system enhancements to improve data integrity throughout the organization ...

Booz Allen Hamilton, Inc.

$99K - $225K/yr

Align provisioning, technical data, and training to support fleet-wide implementation ... Experience with DMSMS analyses and mitigation planning for legacy systems undergoing modernization

Booz Allen Hamilton, Inc.

$99K - $225K/yr

Align provisioning, technical data, and training to support fleet-wide implementation ... Experience with DMSMS analyses and mitigation planning for legacy systems undergoing modernization

Air Force Materiel Command

$42K - $120K/yr

To analyze, manage and automate fuels unique and chemical commodity technical order programs ... Manages AFPET technical data automation initiatives improving access, storage and distribution of ...

Deloitte

Data Analyst

Cleveland, OH · On-site

Conduct defect and issue analysis, working with technical teams to identify root causes and drive ... Our AI & Data practice offers comprehensive solutions for designing, developing, and operating ...

4over, Inc.

Technical Business Analyst

Columbus, OH · On-site

$100 - $125/hr

Technical Business Analyst Regular Full Time INDIRECT Columbus, OH, US Salary Range: $100,000.00 To ... Support data migration, system integrations, and process validation activities during ...

ECS

Data Analyst - GEOINT SME

Dayton, OH · On-site

$110K - $135K/yr

Data Analyst - GEOINT Technical SME Work Role: The Data Analyst work role encompasses a comprehensive skill set focused on leveraging data to enhance organizational performance, ensure security, and ...

Deloitte

Data Analyst

Cleveland, OH · On-site

Conduct defect and issue analysis, working with technical teams to identify root causes and drive ... Our AI & Data practice offers comprehensive solutions for designing, developing, and operating ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Collaborate with Product Owners, Business Analysts, and Architects Work closely with cross-functional IT teams to deliver end-to-end data solutions. * Translate business needs into technical data ...

Credence

Data Science Manager

Bath, OH · On-site

Serve as a functional and technical data visualization and business intelligence subject matter expert. * Translate business analysis and business needs into prototype concepts for reports and ...

Credence

Data Science Manager

Dayton, OH · On-site

Serve as a functional and technical data visualization and business intelligence subject matter expert. * Translate business analysis and business needs into prototype concepts for reports and ...

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All JobsTechnical Data Annotation Analyst JobsTechnical Data Annotation Analyst Jobs in Ohio

Technical Data Annotation Analyst information

What is the difference between Technical Data Annotation Analyst vs Data Labeling Specialist?

AspectTechnical Data Annotation AnalystData Labeling Specialist
Required CredentialsHigh school diploma or equivalent; familiarity with data annotation toolsHigh school diploma or equivalent; experience with labeling platforms
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or on-site; focused on labeling tasks
Industry UsageTech, AI, autonomous vehicles, healthcareAI, machine learning, computer vision projects

The Technical Data Annotation Analyst and Data Labeling Specialist roles share similar credentials and work environments, often overlapping in AI and machine learning industries. However, the analyst typically involves more technical understanding and collaboration with data teams, while the specialist focuses primarily on labeling tasks. Both roles are essential in preparing data for AI models, but the analyst may require additional technical skills or familiarity with annotation tools.

What does a technical data annotation analyst do?

A technical data annotation analyst labels and categorizes data such as images, videos, or text to help train machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working with large datasets in a structured environment.

What cities in Ohio are hiring for Technical Data Annotation Analyst jobs?

Cities in Ohio with the most Technical Data Annotation Analyst job openings:

Technical Data Annotation Analyst jobs near you

Data Architect

Akron, OH • On-site

CESO, Inc.
See more jobs at CESO, Inc.external

$61 - $78.50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Are you seeking purpose, challenge, and talented colleagues? We develop leaders and empower our associates to use their skills and talents to positively impact the world through service - to our coworkers, clients, and communities. We subscribe to the mission of "empowering our people to impact communities by bringing clients' visions to life," so if this speaks to you, let's connect!
 
At CESO, a Data Architect is responsible for designing, implementing, and maintaining the company's enterprise data architecture. This position develops scalable, secure, and governed data solutions that support reporting, analytics, operational excellence, and AI initiatives. The Data Architect translates business requirements into technical data solutions, establishes architecture standards, and ensures enterprise data is reliable, accessible, and positioned to support future growth.
Primary Responsibilities
  • Develop, implement, and maintain enterprise data architecture standards, frameworks, design patterns, and best practices to ensure consistency, scalability, security, and maintainability across the company's data platforms and solutions.
  • Develop and maintain logical, physical, dimensional, and semantic data models.  Design enterprise database architectures, backend data structures, and scalable schema designs that support business applications, integrations, analytics, and AI initiatives.
  • Design and oversee enterprise data integration solutions, including APIs, ELT/ETL processes, cloud platforms, and reporting environments, ensuring scalable, secure, and reliable data movement
  • Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions using Microsoft Fabric, SQL, and Azure technologies.
  • Work with business stakeholders to understand data requirements and translate them into technical designs.
  • Assist in establishing and maintaining enterprise data governance and compliance practices, including data quality, data ownership, stewardship, classification, and retention standards.
  • Provide architectural guidance for databases optimization, indexing strategies, partitioning, and performance tuning to support enterprise-scale workloads
  • Review data solutions for alignment with architecture standards, security requirements, and business objectives while maintaining documentation, data catalogs and lineage information.
  • Design enterprise data platform architectures that support disaster recovery, backup, business continuity, and high availability requirements.
  • Support the development of AI-ready data platforms that enable advanced analytics, machine learning, automation, and future AI initiatives.
  • Provide analytical and problem-solving expertise to evaluate data-related opportunities, and decisions and communication them to relevant parties within the organization.
  • Collaborate effectively with technical and non-technical stakeholders to gather requirements, align priorities, and deliver enterprise data solutions.
  • Perform other duties as assigned.
Position Requirements
  • Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or equivalent experience is required.
    • Master's degree is preferred.
  • Minimum of 5 years of experience in data architecture, data engineering, database administration, analytics engineering, enterprise data architecture or related disciplines is required.
  • Experience documenting and communicating technical architecture decisions and recommendations is required.
  • Experience supporting cloud modernization, digital transformation, or enterprise data platform initiatives is preferred.
  • Microsoft Fabric, Azure Data Engineer, Azure Data Fundamentals, or related certifications, are preferred.
  • Relevant certifications such as Certified Data Management Professional, Microsoft data certifications, or similar, are preferred.
  • Experience working with Microsoft Fabric, SQL Server, Azure SQL, data warehouses, data lakes, Data Factory or lakehouse architectures is required.
  • Proficiency in SQL and working with relational and analytical data structures is required.
  • Strong understanding of data architecture principles, data modeling, database design, and integration patterns is required.
  • Knowledge of DAMA-DMBOK principles, data governance frameworks, and enterprise data management best practices is required.
  • Understanding of security, access controls, privacy requirements, and compliance considerations related to enterprise data is required.
  • Experience designing data models for operational reporting, business intelligence, and KPI Frameworks and analytics solutions is preferred.
  • Experience supporting AI, machine learning, Copilot, or advanced analytics initiatives is preferred.
Benefits and Perks
  • Flexible and Hybrid Work Schedule
  • Paid Time Off - Credited to You 100% Upfront
  • 401K with a Company Match
  • Rewards and Recognition Program
  • Training and Development to Foster Professional Growth
  • Paid Holidays
  • Medical / Dental / Vision Coverage
  • Welcome Box
  • Casual Dress Code
  • Reimbursement for Professional Licenses
  • Paid Time Off for Community Team Service Events
  • Voluntary or Supplemental Short-Term / Long-Term Disability
  • Employee Assistance Program
  • Company Paid Bonding and Recovery
  • Employee Events such as Lunches and Outings to Foster a Positive Work Environment
$85,897 - $167,023 a year
CESO Compensation Transparency:
 
The pay band shown reflects the minimum and maximum base salary for this position at CESO. Actual pay is determined by several factors, including location, experience, education, skills, and internal equity. Our pay structures are benchmarked against industry and market data to stay competitive. Each offer is based on a full review of a candidate's background, qualifications, and fit for the role.
 
Below are the typical new hire pay ranges for this position based on location:

Akron, OH: $85,897 - $108,803
Columbus, OH: $90,669 - $114,848
Dayton, OH: $90,669 - $114,848

CESO is a principle-centered organization that aligns with strong service values, integrity, and authenticity.  We develop and inspire through training and coaching on the job.  At CESO, we believe that work should be more rewarding than just a paycheck.  In addition to a comprehensive benefit and compensation program, we create memories and friendships through our employee and service events.

CESO, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This organization participates in E-Verify and is a drug-free workplace. Criminal background checks and drug/alcohol checks are required.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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