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Remote Amazon Data Annotation Jobs in Minnesota (NOW HIRING)

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Remote Amazon Data Annotation information

What is the difference between Remote Amazon Data Annotation vs Remote Mechanical Turk Worker?

AspectRemote Amazon Data AnnotationRemote Mechanical Turk Worker
CredentialsNo formal certifications required, but attention to detail helpsNo formal certifications required, basic task understanding needed
Work EnvironmentRemote, flexible hours, online platformRemote, flexible hours, online micro-task platform
Employer & IndustryAmazon, e-commerce, AI training dataVarious clients, data labeling, surveys, research

Remote Amazon Data Annotation involves labeling data specifically for Amazon's AI and e-commerce needs, often requiring attention to detail. Mechanical Turk workers perform a variety of micro-tasks across industries. While both are remote and flexible, data annotation is more specialized for AI training, whereas Mechanical Turk offers broader task types.

What are some common challenges faced by Remote Amazon Data Annotation specialists and how can they be addressed?

Remote Amazon Data Annotation specialists often encounter challenges such as maintaining consistency and accuracy across large volumes of data, managing repetitive tasks, and staying engaged while working independently. To address these, it's important to develop a strong attention to detail, utilize quality control tools provided by the platform, and take regular breaks to minimize fatigue. Additionally, staying connected with your team through regular check-ins and feedback sessions can help ensure alignment on annotation guidelines and improve overall performance.

What are Remote Amazon Data Annotation jobs?

Remote Amazon Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, or audio to help train machine learning models used by Amazon. Employees work from home using specialized tools to ensure accuracy and consistency in the data provided. These roles often require attention to detail, the ability to follow guidelines, and sometimes specific domain knowledge depending on the project. Data annotation is essential for improving the performance of AI systems in tasks like product recommendations, voice recognition, and search algorithms. These roles may be full-time, part-time, or project-based, offering flexibility for remote workers.

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

To thrive as a Remote Amazon Data Annotation Specialist, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a high school diploma or relevant experience. Competence with web-based annotation tools, cloud-based platforms, and sometimes Amazon-specific data systems is typically required. Diligence, consistency, effective communication, and the ability to work independently are valuable soft skills in this role. These skills and qualities are important to ensure high-quality, accurate data labeling that supports effective machine learning and AI model development.
What are the most commonly searched types of Amazon Data Annotation jobs in Minnesota? The most popular types of Amazon Data Annotation jobs in Minnesota are:
What are popular job titles related to Remote Amazon Data Annotation jobs in Minnesota? For Remote Amazon Data Annotation jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Annotation jobs in Minnesota look for? The top searched job categories for Remote Amazon Data Annotation jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Amazon Data Annotation jobs? Cities in Minnesota with the most Remote Amazon Data Annotation job openings:
Senior Software Engineer (data engineering)

Senior Software Engineer (data engineering)

UnitedHealth Group

Eden Prairie, MN • Remote

$89K - $160K/yr

Full-time

Retirement

Posted 8 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

189th of 875 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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

If you reside in the states of Minnesota and District of Columbia, you will enjoy the flexibility of a hybrid-remote role as you take on some tough challenges. 

Primary Responsibilities:

  • Design and implement scalable ETL/ELT pipelines to ingest structured and unstructured data from various sources (e.g., APIs, logs, databases, user interactions)
  • Ensure data quality, consistency, and availability for bot training and real-time decision-making
  • Bot Data Integration:
    • Collaborate with bot developers to integrate data sources into conversational AI platforms (e.g., Amazon Lex, Dialogflow, Azure Bot Framework)
    • Enable bots to access contextual and personalized data during interactions
  • SRE/IT Support:
    • Monitor and maintain voice bot systems (e.g., Amazon Lex, Google Dialogflow, Azure Bot Service, Genesys,)
    • Troubleshoot issues related to bot performance, voice recognition, call routing, and backend integrations
  • Monitoring & Optimization:
    • Implement data logging and monitoring systems to track bot performance, user engagement, and data drift
    • Optimize data flows for latency, throughput, and cost efficiency
  • Collaboration & Governance:
    • Work closely with AI/ML, DevOps, and compliance teams to ensure secure and compliant data handling
    • Maintain documentation and data lineage for transparency and auditability
  • Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making

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
  • 8 years of experience in data engineering, preferably in AI environment
  • 5 years of experience in Python, SQL, and data pipeline tools (e.g., Apache Airflow, Spark or Kafka)
  • 5 years of experience with cloud platforms (AWS, GCP or Azure) and data warehousing solutions

Preferred Qualifications:     

  • Master's degree
  • Familiarity with NLP concepts and conversational AI technologies

*All Telecommuters 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 $89,900 to $160,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

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.

   

    

#RPO #YELLOW


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