Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Quick apply
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
AI Agent Developer
Miami, FL · On-site
Contribute to the design of agent personas/roles, workflows, including decision logic, triggers, and escalation paths/human-in-the-loop rules. * Build and configure AI agents using LLMs, retrieval ...
AI Agent Developer
Miami, FL · On-site
Contribute to the design of agent personas/roles, workflows, including decision logic, triggers, and escalation paths/human-in-the-loop rules. * Build and configure AI agents using LLMs, retrieval ...
Contribute to the design of agent personas/roles, workflows, including decision logic, triggers, and escalation paths/human-in-the-loop rules. * Build and configure AI agents using LLMs, retrieval ...
Contribute to the design of agent personas/roles, workflows, including decision logic, triggers, and escalation paths/human-in-the-loop rules. * Build and configure AI agents using LLMs, retrieval ...
Contribute to the design of agent personas/roles, workflows, including decision logic, triggers, and escalation paths/human-in-the-loop rules. * Build and configure AI agents using LLMs, retrieval ...
Contribute to the design of agent personas/roles, workflows, including decision logic, triggers, and escalation paths/human-in-the-loop rules. * Build and configure AI agents using LLMs, retrieval ...
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Quick apply
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Quick apply
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Quick apply
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Quick apply
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Quick apply
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Quick apply
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Own prompt design, routing rules, human-in-loop governance * Knowledge base and SOPs. Clean source of truth with named owners per partner. You write the runbooks personally, not just review what ...
Own prompt design, routing rules, human-in-loop governance * Knowledge base and SOPs. Clean source of truth with named owners per partner. You write the runbooks personally, not just review what ...
Own prompt design, routing rules, human-in-loop governance * Knowledge base and SOPs. Clean source of truth with named owners per partner. You write the runbooks personally, not just review what ...
Own prompt design, routing rules, human-in-loop governance * Knowledge base and SOPs. Clean source of truth with named owners per partner. You write the runbooks personally, not just review what ...
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Quick apply
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Human Factors Research Engineer, AIML Data Operations
$171K - $258K/yr
... in human-in-the-loop evaluation or data annotation workflows Minimum Qualifications MS or PhD in Computer Science, Human-Computer Interaction or equivalent degree 3+ years of experience in mixed ...
Human Factors Research Engineer, AIML Data Operations
$171K - $258K/yr
... in human-in-the-loop evaluation or data annotation workflows Minimum Qualifications MS or PhD in Computer Science, Human-Computer Interaction or equivalent degree 3+ years of experience in mixed ...
Postdoctoral Associate
Cambridge, MA · On-site
In parallel, the candidate will contribute to the development of high-fidelity Unity-based simulation environments for human-in-the-loop experimentation, operator training, data generation, and ...
Postdoctoral Associate
Cambridge, MA · On-site
In parallel, the candidate will contribute to the development of high-fidelity Unity-based simulation environments for human-in-the-loop experimentation, operator training, data generation, and ...
This is not just about managing throughput -- it's about shaping how quality is defined, measured, and improved in a human-in-the-loop environment. Project Details * Job Title: Data Quality Lead
Quick apply
This is not just about managing throughput -- it's about shaping how quality is defined, measured, and improved in a human-in-the-loop environment. Project Details * Job Title: Data Quality Lead
This is not just about managing throughput -- it's about shaping how quality is defined, measured, and improved in a human-in-the-loop environment. Project Details * Job Title: Data Quality Lead
Quick apply
This is not just about managing throughput -- it's about shaping how quality is defined, measured, and improved in a human-in-the-loop environment. Project Details * Job Title: Data Quality Lead
This is not just about managing throughput -- it's about shaping how quality is defined, measured, and improved in a human-in-the-loop environment. Project Details * Job Title: Data Quality Lead
Quick apply
This is not just about managing throughput -- it's about shaping how quality is defined, measured, and improved in a human-in-the-loop environment. Project Details * Job Title: Data Quality Lead
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Quick apply
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Quick apply
Experience in AI/ML data workflows or human-in-the-loop evaluation environments * Prior experience auditing or reviewing the work of others * Familiarity with safety, compliance, or policy-driven ...
Human In Loop information
See salary details
$26.5K - $29.5K
1% of jobs
$29.5K - $32.6K
3% of jobs
$32.6K - $35.6K
6% of jobs
$37.8K is the 25th percentile. Wages below this are outliers.
$35.6K - $38.7K
20% of jobs
$38.7K - $41.7K
18% of jobs
The median wage is $41.9K / yr.
$41.7K - $44.8K
17% of jobs
$46.9K is the 75th percentile. Wages above this are outliers.
$44.8K - $47.8K
13% of jobs
$47.8K - $50.9K
9% of jobs
$50.9K - $53.9K
6% of jobs
$53.9K - $57K
3% of jobs
$57K - $60K
3% of jobs
$26.5K
$44.2K
$60K
How much do human in loop jobs pay per year?
As of Jun 15, 2026, the average yearly pay for human in loop in the United States is $44,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $48,000.00 per year, depending on experience, location, and employer.
What is the difference between Human In Loop vs Data Annotator?
| Aspect | Human In Loop | Data Annotator |
|---|---|---|
| Required Credentials | Basic technical skills, sometimes certifications in data labeling or AI | Minimal formal credentials, often on-the-job training |
| Work Environment | Collaborative, often integrated into AI development teams | Primarily focused on labeling data, often in a controlled environment |
| Employer & Industry Usage | Tech companies, AI development, machine learning projects | Data labeling services, AI training datasets |
| Search & Comparison Intent | Understanding roles in AI data processes | Data labeling and annotation tasks |
Human In Loop roles involve active collaboration with AI systems, often requiring technical understanding, while Data Annotators focus on labeling data with minimal technical skills. Both roles are essential in AI development but differ in scope and responsibilities.
What is a $900,000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in data science, programming, and AI frameworks. These roles usually involve leadership, strategic planning, and extensive experience, and may include stock options or bonuses that contribute to the total compensation package.
What are Human In Loop jobs?
Human In Loop (HITL) jobs involve humans working alongside artificial intelligence (AI) or machine learning systems to provide feedback, correct errors, and make judgments that the AI cannot accurately perform on its own. These roles are essential for improving the accuracy and reliability of AI models, especially in tasks such as data labeling, content moderation, and quality assurance. By integrating human oversight with automated systems, organizations can achieve better results and ensure ethical standards are maintained.
How can I make 2000 a week working from home?
Human in the Loop roles often involve reviewing data, verifying information, or providing feedback to AI systems, which can be done remotely. To earn around $2000 weekly, you may need to work multiple shifts, develop specialized skills, or find high-paying projects, as pay rates vary based on complexity and experience. Building a strong reputation and proficiency with relevant tools can help increase earning potential in this field.
What are the key skills and qualifications needed to thrive as a Human-in-the-Loop (HITL) specialist, and why are they important?
To thrive as a Human-in-the-Loop specialist, you need strong analytical skills, attention to detail, and a background in data science or related fields, often supported by a bachelor's degree. Familiarity with annotation tools, data labeling systems, and experience with machine learning workflows or platforms is important. Effective communication, problem-solving, and adaptability are crucial soft skills for collaborating with technical teams and managing evolving project requirements. These skills ensure high-quality data processing, improve AI model accuracy, and enable seamless integration between human judgment and automated systems.
What is the job description of human-in-the-loop?
A human-in-the-loop role involves reviewing, validating, and improving data or machine learning models by providing human judgment and oversight. This position often requires strong attention to detail, domain knowledge, and familiarity with data annotation tools or AI systems to ensure accuracy and quality in automated processes.
How does a Human-in-the-Loop specialist typically collaborate with machine learning engineers and data scientists?
As a Human-in-the-Loop (HITL) specialist, you will work closely with machine learning engineers and data scientists to refine and validate AI models. Your main responsibilities involve annotating data, reviewing model outputs, and providing critical feedback to improve algorithm accuracy. Collaboration often includes participating in regular meetings to discuss edge cases, sharing insights on data quality, and helping to design evaluation metrics. This teamwork ensures the AI system learns from human expertise, resulting in more robust and reliable models.
What jobs pay $10,000 a month without a degree?
Human in the loop roles often involve overseeing AI systems, data annotation, or quality assurance, and some positions can pay $10,000 or more monthly with experience and specialized skills. These jobs typically require strong attention to detail, familiarity with AI tools, and sometimes certifications, but they do not always require a formal degree. High-paying opportunities are more common in freelance, contract, or remote work environments within tech and AI industries.
$38/hr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 6 days ago
Welocalize rating
5.9
Based on 10 frontline employees who took The Breakroom Quiz
336th of 428 rated business services
Job description
Overview
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details- Job Title: Data Quality Analyst
- Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame.
- Hours: Full-time, 40 hours per week
- Employment Type: W2 Full-Time Employee
- Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
- Pay Rate: $38/hour
- Contract Duration: 1-year contract with possibility of extension
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
What You'll Do- Support quality and execution across DLA teams, ensuring work meets defined standards at scale
- Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
- Act as the first line of support for DLAs — answering questions and helping interpret guidelines
- Help DLAs navigate ambiguity and apply evolving instructions effectively
- Support onboarding and training of new DLAs through hands-on guidance and coaching
- Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
- Identify patterns, recurring issues, and edge cases in both human and model outputs
- Participate in calibrations, team discussions, and stakeholder syncs
- Contribute to improving guidelines, processes, and overall team performance
- Document findings and feedback in a clear, concise, and actionable way
- Native-level French proficiency and a university degree (Bachelor’s or higher).
- 2–4 years of experience in data annotation, content quality, QA, or related fields
- Strong ability to interpret and apply complex guidelines with consistency
- Excellent attention to detail with a high bar for quality
- Ability to stay consistent while working with evolving guidelines and priorities
- Experience in AI/ML data workflows or human-in-the-loop evaluation environments
- Prior experience auditing or reviewing the work of others
- Familiarity with safety, compliance, or policy-driven content evaluation
- Paid Vacation: 6 days
- Paid Company Holidays: 2 days (Memorial Day and Labor Day)
- Paid Sick Leave: accrued per applicable state law and company policy
- Medical, Dental, and Vision Insurance (eligibility applies)
- Health Savings Account (HSA)
- 401(k) Retirement Plan
- Employee Assistance Program
- Additional voluntary benefits (life, accident, critical illness, etc.)
- Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
- Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
- Unique Campus Features: Some locations include roof-top nature parks
- Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
About Welocalize
Sourced by ZipRecruiter
Industry
Translation services
Company size
1,001 - 5,000 Employees
Headquarters location
New York, NY, US