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Remote Ai Data Collection Jobs in Ohio (NOW HIRING)

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Complete a device compatibility check and an AI-enabled interview during onboarding. Required ...

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Remote Ai Data Collection information

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What remote jobs can I do with AI?

Remote AI data collection jobs involve gathering and labeling data to train machine learning models, often requiring skills in data annotation, understanding of AI tools, and attention to detail. These roles can include image, text, or audio data labeling and are typically performed using specialized platforms or software, offering flexible schedules for qualified candidates.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

How to be a Remote AI Data Collection?

To work as a remote AI data collector, you should have strong attention to detail, good communication skills, and familiarity with data annotation tools or platforms. Many roles require basic computer skills and the ability to follow specific instructions, often with flexible schedules. Gaining experience in data labeling or annotation can improve your chances of securing such positions.

What are the most commonly searched types of Ai Data Collection jobs in Ohio?

The most popular types of Ai Data Collection jobs in Ohio are:

What are popular job titles related to Remote Ai Data Collection jobs in Ohio?

For Remote Ai Data Collection jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Collection jobs in Ohio look for?

The top searched job categories for Remote Ai Data Collection jobs in Ohio are:

What cities in Ohio are hiring for Remote Ai Data Collection jobs?

Cities in Ohio with the most Remote Ai Data Collection job openings:

Infographic showing various Remote Ai Data Collection job openings in Ohio as of August 2026, with employment types broken down into 78% Full Time, 6% Part Time, 2% Temporary, and 14% Contract. Highlights an 100% Remote job distribution.

Lead Data Engineering - Remote or Hybrid in MN or DC

UnitedHealth Group

Dublin, OH • On-site, Remote

$112K - $193K/yr

Full-time

Retirement

Re-posted 14 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 887 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.  

 

The health solutions marketplace is hungry for new ideas, innovative products and software that drives elevated performance for the business and the customer. The UnitedHealth Group family of businesses is feeding incredible solutions to that marketplace every day by bringing out the best in our software engineering teams. We serve customers across the health system. Not only do we have more of them every day, we also have more technology, greater data resources and far broader expertise than any competitor anywhere. We're out to change the way our businesses and consumers engage with technology. If you're in, you'll be challenged like never before. It's time to join this history making.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

 

Primary Responsibilities: 

  • Work with engineering leadership, business leadership, and product teams to design, implement and optimize data integrations for the CPS Pharmacy Solutions business
  • Play a pivotal role in driving innovation and scalability in data integration processes (inbound and outbound).  Integrations should be automated, optimized for performance, reliable, recoverable and auditable
  • Collaborate with AI teams to identify and ingest data to satisfy their needs
  • Work within Optum's Enterprise Data Strategy to consume and share data in the most efficient manner - data mesh enablement, data mastering, data governance, data certification and self- service
  • Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive tasks.
  • Evaluate emerging trends to drive continuous improvement and strategic innovation

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications: 

  • Bachelor's degree in Computer Science or a STEM related engineering field
  • 5 years of experience modeling, designing, building, and supporting data integration processes (consumption and sharing)
  • 5 years of experience SQL, Python and data libraries used in data integration, i.e. profiling, transforming and validating large datasets
  • Demonstrated experience with AI tools and libraries for building AI data corpora, models, and agents using large language models (LLMs)
  • Demonstrated familiarity with best practices for data flow patterns for data ingestion, data sharing and data product delivery
  • Ability to work under pressure, organize and prioritize responsibilities
  • Ability to quickly grasp complex technical and business concepts and express them in clear language

 

Preferred Qualifications: 

  • Specialty Pharmacy and/or Healthcare experience; aptitude for acquiring solid industry knowledge
  • Experience with modern healthcare data transport mechanisms and tools ie HL7, FHIR, Redox, Mirth, HIE
  • Databricks experience and/or certifications - Lake House, Delta Lake, Unity Catalog, pipeline integration
  • Proven deep team involvement throughout the SDLC - a track record of performing code reviews and establishing best practices for team members

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.    

 

 

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.    

 

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.    


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