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Data Annotation Tech Remote Jobs in Ohio (NOW HIRING)

Quadax, Inc.

Data Science Analyst

Cleveland, OH · On-site +1

Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science ... Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ...

Synergy

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107K - $129K/yr

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT ... IT consulting, outsourced solutions, and strategic staffing. Since 1995, Synergycom has been ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

Huntington Bank is looking for a data warehouse leader in our Data Technology organization. In this ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

Huntington Bank is looking for a data warehouse leader in our Data Technology organization. In this ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

Huntington Bank is looking for a data warehouse leader in our Data Technology organization. In this ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

ALLOBAAS

Data Engineer II

Lakewood, OH · On-site +1

Stay informed on emerging data technologies and trends, sharing insights to help identify ... If fully remote: must be willing to travel * This position will require the ability to work ...

FMHC

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Stay informed on emerging data technologies and trends, sharing insights to help identify ... If fully remote: must be willing to travel * This position will require the ability to work ...

FMHC

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Stay informed on emerging data technologies and trends, sharing insights to help identify ... If fully remote: must be willing to travel * This position will require the ability to work ...

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

... to learn new technologies on the job Demonstrated ability to communicate complex results to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Data Annotation Tech Remote information

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are popular job titles related to Data Annotation Tech Remote jobs in Ohio? For Data Annotation Tech Remote jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Ohio look for? The top searched job categories for Data Annotation Tech Remote jobs in Ohio are:
What cities in Ohio are hiring for Data Annotation Tech Remote jobs? Cities in Ohio with the most Data Annotation Tech Remote job openings:
Data Annotation Tech Remote jobs near you
Data Science Analyst

Data Science Analyst

Quadax, Inc.

Cleveland, OH • On-site, Remote

Full-time

Posted 12 days ago

Quadax rating

7.0

Company rating: 7.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

163rd of 209 rated software companies

Job description

Summary:

Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.

Responsibilities:

  • Ability to analyze complex data sets and create actionable insights
  • Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
  • Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
  • Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
  • Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
  • Performs validation and testing to confirm the accuracy of the information created
  • Interprets results of analyses, identifies trends, and issues, and develops recommendations to support business objectives
  • Communicates complex information so that it is easy to understand and influences others to take action based on the useful information provided
  • Facilitate the design and development of product features
  • Interview subject matter experts, customers, and other stakeholders to identify and clarify requirements
  • Establish rapport with stakeholders and ensure that their questions and concerns are clearly documented
  • Present on-time delivery of requirements and user stories/specifications
  • Support the creation and maintenance of project documentation
  • Write user stories, technical requirements for projects including complex business rules, logic flow diagrams, conditional logic, use cases and specific workflows

Qualifications:

  • Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
  • 2+ years of experience working in Data Science
  • Professional experience with, and more than a basic understanding of AI technology
  • Proficient in building process flow diagrams and data mapping
  • Experience with agile development and software development life cycle (SDLC) processes
  • Proficiency with SQL programming
  • Extensive experience working in a BI environment and familiarity with data warehouses
  • Extensive experience in gathering and documenting business requirements
  • Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
  • Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
  • Excellent written and verbal communication skills

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