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Human Intelligence Task Jobs in Alaska (NOW HIRING)

Develop document intelligence pipelines using LLMs for summarization, entity extraction ... Implement human-in-the-loop checkpoints for escalation, review, and override of AI-driven decisions.

... intellectually complex tasks that are worthy of their productive struggle and allow them authentic ... human capital management system. Please note that an offer of employment will be subject to the ...

Fire Project Coordinator

Anchorage, AK · On-site

$27 - $36/hr

Ability to multi-task and prioritize among assignments with a strong adherence todeadlines ... All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us ...

Strong time management skills; ability to handle multiple tasks, set priorities and meet tight ... A passion for customer service, keen sense of adventure, business intelligence, strong ...

Strong time management skills; ability to handle multiple tasks, set priorities and meet tight ... A passion for customer service, keen sense of adventure, business intelligence, strong ...

Strong time management skills; ability to handle multiple tasks, set priorities and meet tight ... A passion for customer service, keen sense of adventure, business intelligence, strong ...

Strong time management skills; ability to handle multiple tasks, set priorities and meet tight ... A passion for customer service, keen sense of adventure, business intelligence, strong ...

... living, hygiene tasks, health care needs, and medication support as directed. Professional ... Promote self-sufficiency, independence, and human rights in alignment with The Arc's Mission and ...

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Human Intelligence Task information

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 is the easiest AI job to get?

Human Intelligence Tasks (HITs) are simple micro-jobs on platforms like Amazon Mechanical Turk that often require minimal skills and training. These tasks typically involve data labeling, image categorization, or surveys, making them accessible for beginners without specialized experience.

What are the key skills and qualifications needed to thrive as a Human Intelligence Task worker, and why are they important?

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.

Which 5 jobs will survive AI?

Human Intelligence Tasks often involve jobs that require complex judgment, creativity, emotional intelligence, and interpersonal skills, such as healthcare professionals, educators, creative writers, therapists, and skilled tradespeople. These roles rely on human empathy, critical thinking, and adaptability, making them less susceptible to automation. While AI can assist in these fields, the core human element remains essential for their effective performance.

What are human intelligence tasks?

Human Intelligence Tasks (HITs) are small, discrete tasks performed by humans to help train or improve machine learning algorithms. These tasks often include data labeling, image recognition, transcription, or content moderation and are typically completed through online platforms that connect workers with requesters. HITs require attention to detail and basic computer skills and are commonly used in crowdsourcing environments.

What are Human Intelligence Tasks (HITs)?

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 are some common challenges faced by individuals working on Human Intelligence Tasks (HITs) 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.

Which 3 jobs will survive AI?

Human Intelligence Tasks often involve jobs that require complex judgment, creativity, and emotional understanding, such as healthcare professionals, educators, and skilled tradespeople. These roles rely on human empathy, critical thinking, and adaptability, making them less susceptible to automation by AI. Continuous learning and certification in these fields can enhance job security as AI advances.
What are popular job titles related to Human Intelligence Task jobs in Alaska? For Human Intelligence Task jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Human Intelligence Task jobs in Alaska look for? The top searched job categories for Human Intelligence Task jobs in Alaska are:
Infographic showing various Human Intelligence Task job openings in Alaska as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 83% In-person, and 17% Remote job distribution.

Other

Posted 29 days ago


Job description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies

Certified as a Great Place to Work

Fortune Best Workplaces in Financial Services & Insurance

Applied & Agentic AI Engineer

Job Responsibilities

  • Architect and deploy LLM-powered and agentic AI solutions that transform claims intake, policy interpretation, fraud detection, and resolution workflows.
  • Design end-to-end retrieval-augmented generation (RAG) systems leveraging enterprise knowledge bases, policy documents, SOPs, and historical claims data.
  • Build autonomous and semi-autonomous agents capable of reasoning, planning, and executing multi-step claims processes.
  • Develop stateful workflow orchestration layers that manage context, memory, and task sequencing across interactions.
  • Implement planning and reflection loops that decompose complex claims scenarios into structured subtasks.
  • Enable dynamic tool use through function calling and secure API integrations with claims systems, CRM platforms, document repositories, and analytics tools.
  • Develop document intelligence pipelines using LLMs for summarization, entity extraction, classification, validation, and timeline reconstruction.
  • Design structured prompt frameworks that enforce deterministic outputs and domain-aware reasoning.
  • Build multi-agent systems that coordinate document review, coverage analysis, compliance checks, and decision support.
  • Implement human-in-the-loop checkpoints for escalation, review, and override of AI-driven decisions.
  • Develop guardrails, output validation layers, and hallucination mitigation strategies.
  • Enforce structured outputs using schemas, type validation, and deterministic post-processing logic.
  • Optimize token consumption, inference latency, and cloud infrastructure costs.
  • Deploy scalable AI microservices using containerization and cloud-native architectures.
  • Implement monitoring for model drift, retrieval quality degradation, reasoning failures, and workflow breakdowns.
  • Maintain detailed audit logs of model decisions, agent reasoning steps, and tool executions.
  • Develop evaluation frameworks to test reasoning accuracy, workflow completion rates, and system reliability.
  • Collaborate with data engineering to build embedding pipelines, feature stores, and vector indexing strategies.
  • Ensure compliance with Responsible AI standards, data privacy regulations, and enterprise governance policies.
  • Partner with claims operations leadership to embed AI capabilities directly into adjuster and supervisor workflows.
  • Measure business impact through cycle-time reduction, automation coverage, fraud detection lift, and operational efficiency gains.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related field.
  • 5+ years of experience building production-grade AI or advanced software systems.
  • 2-4+ years of hands-on experience with LLM-powered applications and orchestration layers.
  • Strong expertise in retrieval-augmented generation architectures and vector search systems.
  • Experience designing and implementing multi-agent systems and workflow orchestration engines.
  • Deep understanding of planning loops, contextual memory, and tool-augmented LLM reasoning.
  • Strong proficiency in Python and API-driven system design.
  • Experience integrating enterprise platforms and building secure connectors.
  • Familiarity with Azure OpenAI or similar enterprise LLM environments.
  • Experience deploying containerized services and managing CI/CD pipelines.
  • Understanding of distributed systems, microservices, and event-driven architectures.
  • Experience implementing guardrails, access controls, and auditability mechanisms.
  • Strong knowledge of evaluation methodologies for LLM reliability and agent performance.
  • Experience in insurance, claims, healthcare, or other regulated industries preferred.
  • Ability to translate complex operational workflows into scalable, AI-driven autonomous systems.

Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.