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Remote Ai Data Collection Jobs in Minnesota (NOW HIRING)

Vervint

Director of Data Intelligence

Minneapolis, MN · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

Deloitte

GCP Manager

Minneapolis, MN · On-site +1

... or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Manager on the AI & Data team, you will be responsible for... * Drive solution reviews and ...

Digi

Web Developer (Remote - US)

Hopkins, MN · On-site +1

$63K - $99K/yr

Implement data collection and instrumentation that supports analytics and reporting. AI-Assisted Development Environment * Use AI-assisted development tools to accelerate coding, testing, and ...

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Remote Ai Data Collection information

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

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 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 some common challenges faced 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.
What are the most commonly searched types of Ai Data Collection jobs in Minnesota? The most popular types of Ai Data Collection jobs in Minnesota are:
What are popular job titles related to Remote Ai Data Collection jobs in Minnesota? For Remote Ai Data Collection jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Collection jobs in Minnesota look for? The top searched job categories for Remote Ai Data Collection jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Ai Data Collection jobs? Cities in Minnesota with the most Remote Ai Data Collection job openings:
Remote Ai Data Collection jobs near you
Software Engineer - AI & Data Platforms

Software Engineer - AI & Data Platforms

Expleo

Minneapolis, MN • On-site, Remote

$65 - $75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Overview

Location: Remote within USAEmployment Type: Full-time

Build the Future of AIDriven Healthcare Data

Are you excited about building scalable AI and data platforms that make a realworld impact? Trissential is partnering with a leading healthcare organization to bring on a Software Engineer who will help design and scale nextgeneration AI, LLM, and data systems used across clinical and analytics platforms.

This is a highimpact role where your engineering work directly supports patient outcomes, advanced analytics, and enterprise AI initiatives. If you enjoy building robust backend systems, working with data pipelines, and collaborating across AI and platform teams-this role was built for you.

What's in It for You?

  • Work on productiongrade AI and LLM systems in a real enterprise healthcare environment
  • Design agenttoagent communication platforms and scalable data pipelines
  • Collaborate with AI, data, and platform engineering teams
  • Build solutions that support clinical analytics, ML, and data science initiatives
  • Gain exposure to modern cloud, microservices, and observability practices

Your Role & Responsibilities

  • Design and implement an MCP (Model/Agent Communication Platform) enabling agent orchestration, communication, and observability
  • Build and scale ETL/ELT data pipelines supporting AI/LLM and analytics use cases
  • Develop frameworks for agent monitoring, control, and traceability
  • Integrate AI systems with enterprise data platforms, APIs, and cloud services
  • Support data ingestion, transformation, and orchestration workflows
  • Ensure performance, scalability, resilience, and reliability of AIdriven systems
  • Participate in Agile and DevOps practices, including CI/CD pipelines
  • Troubleshoot complex system issues using rootcause analysis and observability tools
  • Produce and maintain clear technical documentation

Skills & Experience You Should Possess

  • 5+ years of experience in software engineering or data engineering
  • Strong proficiency in Python
  • Experience building APIs and microservicesbased architectures
  • Handson experience with data pipelines and distributed or eventdriven systems
  • Solid understanding of observability (logging, monitoring, tracing)
  • Experience working in Agile development environments
  • Strong problemsolving, communication, and systemdesign skills

Bonus Points If You Have

  • Experience with AI/LLM integration and workflows
  • Exposure to agent orchestration frameworks (LangChain, Semantic Kernel, similar)
  • Familiarity with LLMOps or MLOps practices
  • Experience with vector databases, embeddings, or RAG architectures
  • Cloud experience with Azure, GCP, or AWS
  • Experience in healthcare or regulated industries

Education & Certifications You Need

  • Bachelor's degree in Computer Science, Engineering, or a related fieldOR
  • Associate's degree with 2+ additional years of relevant engineering experienceOR
  • 2+ years of handson experience coding applications/services in a highlevel language

What We Offer

At Trissential , we value flexibility, growth, and meaningful work. You'll join our client's team while receiving full support from Trissential.

  • Competitive Compensation -$65-$75 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, marketbased rates by geography.
  • Comprehensive Benefits for you and your dependents - Medical, dental, vision, free telehealth, HSA with company contribution, life and disability insurance, and 401k with matching
  • Paid Time Off - Offers paid time away from work
  • HighImpact Work - Build systems used in real clinical and AI decisionmaking
  • Career Growth - Work with advanced AI, data, and cloud technologies
  • Collaborative Culture - Partner with highly skilled engineers, data scientists, and architects

This role is open only to candidates authorized to work in the United States.

Ready to be part of something exciting?

If you're passionate about AIdriven systems, data platforms, and building technology that truly matters-apply today and take the next step in your engineering career with Trissential.

Employment Type: OTHER

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