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Human Intelligence Task Jobs in Michigan (NOW HIRING)

Inserter Operator

Flint, MI · On-site

$17 - $25/hr

Ability to multi-task. Able to lift 40-50 pounds frequently throughout the shift. Able to stand for ... Job Type: Full-time $17 - $25 an hour We may use artificial intelligence (AI) tools to support ...

Inserter Operator

Flint, MI · On-site

$17 - $25/hr

Ability to multi-task. Able to lift 40-50 pounds frequently throughout the shift. Able to stand for ... Job Type: Full-time $17 - $25 an hour We may use artificial intelligence (AI) tools to support ...

Cyber Manager - AI SOC

Grand Rapids, MI · On-site

$106K - $144K/yr

Guiding the application of automation and artificial intelligence to security operations use cases ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Psychometrician

Flint, MI · On-site

$60K - $82K/yr

... intellectual or developmental disabilities and/or social-emotional disorders. Will consider a ... Must retain Michigan Department of Health and Human Services provider Medicaid services ...

Showing results 41-60

Human Intelligence Task information

What is a human intelligence task?

Human Intelligence Tasks, commonly referred to as HITs, are small, discrete jobs or assignments that require human judgment and intelligence to complete. These tasks are often posted on platforms like Amazon Mechanical Turk and can include things like identifying objects in images, transcribing audio recordings, categorizing content, or answering surveys. HITs are designed to be tasks that computers or automated systems cannot perform accurately, so they rely on human workers to provide the necessary insight and decision-making. Workers are usually paid a small amount for each completed HIT, and they can choose which tasks to accept based on their interests and qualifications.

What skills and qualifications are needed to thrive as a human intelligence task worker?

To thrive as a Human Intelligence Task worker, you need strong attention to detail, critical thinking, and the ability to follow complex instructions, often without formal qualifications required. Familiarity with web-based platforms like Amazon Mechanical Turk or Appen, and sometimes understanding of basic data annotation tools, is beneficial. Reliability, time management, and clear written communication are standout soft skills in this role. These skills ensure high-quality, accurate task completion, which is crucial for supporting data-driven projects and research.

What are common challenges faced by individuals working on human intelligence tasks and how can they be managed?

Professionals completing Human Intelligence Tasks, such as those on platforms like Amazon Mechanical Turk, often face challenges including repetitive work, unclear task instructions, and variable compensation. To manage these, it's important to carefully review instructions before starting each HIT, use community forums to share experiences and clarify ambiguities, and select tasks from reputable requesters known for fair payment and clear expectations. Maintaining focus through regular breaks and organizing your workflow can also help mitigate fatigue and improve overall efficiency.

What is the difference between Human Intelligence Task vs Data Annotation Specialist?

AspectHuman Intelligence TaskData Annotation Specialist
Required CredentialsBasic computer skills, no formal certification neededKnowledge of annotation tools, sometimes certifications in data labeling
Work EnvironmentOnline platforms, remote workRemote or in-office, often using specialized software
Employer & Industry UsageTech companies, crowdsourcing platformsAI and machine learning companies, data labeling firms
Search & Comparison IntentUnderstanding task-based work, gig economySpecialized data labeling roles, AI training

Human Intelligence Tasks (HITs) are small, simple tasks performed online, often by crowdsourced workers. Data Annotation Specialists focus on labeling data for AI training, requiring specific tools and sometimes certifications. While both roles involve online work and contribute to AI development, HITs are more general micro-tasks, whereas Data Annotation Specialists perform specialized, detailed data labeling.

What cities in Michigan are hiring for Human Intelligence Task jobs?

Cities in Michigan with the most Human Intelligence Task job openings:

Infographic showing various Human Intelligence Task job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

$175K - $200K/yr

Full-time

Re-posted 14 days ago


Beacon Specialized Living rating

5.5

Company rating: 5.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

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Job description

Position Summary:
This role will be responsible for developing secure, compliant AI infrastructure and reusable frameworks that enable internal teams and external consultants to build and deploy AI agents for Operations, Human Resources, Admissions, and IT, while also supporting advanced LLM-driven clinical and client risk use cases integrated with Beacon's EHR, eMAR, HRIS, CRM, and incident management systems.
NOTE: **Applicants must be legally authorized to work in the United States**
Primary Responsibilities:
• Always be compliant with all company and regulatory policies and procedures.
• Design and maintain an enterprise AI Agent framework supporting:
• Task automation
• Data retrieval and summarization
• Workflow orchestration
• Human-in-the-loop approvals
• Build shared services including:
• Prompt management and versioning
• Tool and API integration layers
• Authentication, role-based access, and audit logging
Clinical AI & Client Risk Intelligence
• Develop and support LLM-powered clinical and risk-focused solutions such as:
• Behavioral and incident pattern analysis
• Medication adherence and documentation quality monitoring
• Early-warning indicators for client risk and escalation
• Integrate AI outputs into clinical workflows, dashboards, and alerts.
• Partner with clinical leadership to ensure interpretability and usability of AI insights.
LLM Engineering & MLOps
• Implement and manage LLM integrations including:
• Secure prompt pipelines
• Retrieval-Augmented Generation (RAG) using enterprise data
• Model evaluation and drift monitoring
• Deploy AI services using scalable cloud-native architecture (APIs, containers, CI/CD).
• Optimize performance, cost, and latency across production AI workloads.
Data Integration & Platform Collaboration
• Work with Data Engineering to leverage:
• Microsoft Fabric
• Azure Data Lake
• Power BI semantic models
• Integrate data from:
• EHR and eMAR platforms
Education and Qualifications:
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• 5+ years of experience in software engineering, data engineering, or AI engineering.
• Hands-on experience with:
• LLM APIs and orchestration frameworks
• Prompt engineering and RAG architectures
• API and microservice development

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