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Day Ai Reviewer Jobs (NOW HIRING)

Rhapsody

Sales Operations Manager

Boston, MA

... day. At Rhapsody, we are an AI-first company, meaning we actively use and embrace artificial ... Act as a dedicated operational partner to sales managers and leaders - joining pipeline reviews ...

Grant Engine

... (4-6 day turnaround) of Expert Reviews. · Ability to handle several projects concurrently as ... an AI component to their research is a plus. Additional Qualifications and Competencies: · ...

Coupang Internal

AI & Product Counsel

Mountain View, CA

$260K/yr

Review AI-powered product features and complex technical specifications to provide practical legal ... Employee Assistance Program (EAP) program * 401K Plan with Company Match * 18-21 days of the Paid ...

Rhapsody

Sales Operations Manager

Boston, MA · Remote

... day. At Rhapsody, we are an AI-first company, meaning we actively use and embrace artificial ... Act as a dedicated operational partner to sales managers and leaders -- joining pipeline reviews ...

Coupang

AI & Product Counsel

Mountain View, CA · On-site +1

$260K/yr

Review AI-powered product features and complex technical specifications to provide practical legal ... Employee Assistance Program (EAP) program * 401K Plan with Company Match * 18-21 days of the Paid ...

Rhapsody

Sales Operations Manager

Boston, MA · On-site

... day. At Rhapsody, we are an AI-first company, meaning we actively use and embrace artificial ... Act as a dedicated operational partner to sales managers and leaders - joining pipeline reviews ...

Rhapsody

Sales Operations Manager

Dallas, TX · Remote

... day. At Rhapsody, we are an AI-first company, meaning we actively use and embrace artificial ... Act as a dedicated operational partner to sales managers and leaders -- joining pipeline reviews ...

Rhapsody

Sales Operations Manager

Dallas, TX · On-site

... day. At Rhapsody, we are an AI-first company, meaning we actively use and embrace artificial ... Act as a dedicated operational partner to sales managers and leaders - joining pipeline reviews ...

Dataminr

Deal Desk Analyst

$21 - $28.75/hr

... construction, review, approval, and negotiation of business opportunities. Acting as the ... be a part of any given day. AI Innovation at Dataminr Working at Dataminr you'll have the ...

Homestead

Copywriter Lead

$85K - $90K/yr

... day AI implementation, solving immediate issues, and improving how the team operates. This role ... Maintain high standards across copy deliverables through regular review, coaching, and feedback.

Hippocratic AI

Staff AI Engineer

Menlo Park, CA · On-site

$190 - $270/hr

... office five days a week, unless otherwise specified. What You'll Do * Architect and own ... Mentor senior and mid‑level engineers, raise the quality bar through code review and design ...

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Day Ai Reviewer information

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How much do day ai reviewer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for day ai reviewer in the United States is $29.88, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $36.54 per hour, depending on experience, location, and employer.

What is a Day AI reviewer?

Day AI Reviewers are individuals responsible for assessing the quality, accuracy, and ethical standards of artificial intelligence outputs, particularly those generated by AI models used in various applications. Their role involves reviewing AI-generated content to ensure it meets specific guidelines and does not promote misinformation, bias, or inappropriate material. Day AI Reviewers may work for technology companies, research institutions, or content moderation firms, and their feedback helps improve the performance and reliability of AI systems. This position requires attention to detail, critical thinking, and familiarity with the latest AI technologies.

What are the key skills and qualifications needed to thrive as a Day AI reviewer?

To thrive as a Day AI Reviewer, you need strong analytical skills, attention to detail, and familiarity with AI concepts, typically supported by a degree in computer science or a related field. Proficiency in reviewing AI outputs, using annotation tools, and understanding data labeling systems is essential. Excellent communication, critical thinking, and the ability to provide constructive feedback are standout soft skills for this position. These abilities ensure high-quality AI model evaluation, accurate data annotation, and effective collaboration within AI development teams.

What are some common challenges faced by Day AI reviewers, and how can they be addressed?

Day AI Reviewers often encounter challenges such as maintaining consistency in evaluations, managing large volumes of data, and staying up-to-date with evolving AI guidelines. To overcome these challenges, reviewers typically use detailed checklists, participate in regular team calibration sessions, and attend ongoing training. Collaborating closely with team leads and fellow reviewers helps ensure alignment and continual improvement in review quality.

What is the difference between Day Ai Reviewer vs Content Moderator?

AspectDay Ai ReviewerContent Moderator
Required CredentialsBasic computer skills, attention to detailSimilar, often no formal degree required
Work EnvironmentRemote, flexible hoursRemote or on-site, varies by employer
Industry UsageAI training, data labelingOnline platforms, social media, forums
Job FocusReviewing AI-generated content for accuracyMonitoring and moderating user-generated content

Both roles involve reviewing digital content, but Day Ai Reviewers focus on ensuring AI outputs are accurate, while Content Moderators manage user content to maintain community standards. The roles share similar skills and work environments, often overlapping in online platforms.

How do you become a Day AI Reviewer?

To become a Day AI Reviewer, candidates typically need strong attention to detail, good understanding of AI content guidelines, and the ability to evaluate data accurately. Relevant skills include familiarity with review platforms, basic knowledge of AI or machine learning concepts, and the ability to work independently in a remote environment. Some positions may require prior experience in content moderation or related fields.

Is remote day AI reviewer a real job?

A remote day AI reviewer is a legitimate role that involves evaluating and moderating AI-generated content to ensure quality and compliance. The job typically requires strong attention to detail, familiarity with AI tools, and the ability to work independently in a remote environment.
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Day Ai Reviewer jobs near you
Infographic showing various Day Ai Reviewer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $62,159 per year, or $29.9 per hour.

AI Research Post Doctoral Fellow

University of New Mexico

Albuquerque, NM

$47K - $64K/yr

Full-time

Posted 11 days ago

University Of New Mexico rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

129th of 622 rated colleges and universities

Job description

The University of New Mexico's Center for Advanced Research Computing (CARC), within the Department of Computer Science, seeks a full-time Postdoctoral Researcher to lead development of an open-source agentic artificial intelligence platform as part of a federally funded, multi-institution research initiative. The Postdoctoral Researcher will design and build the project's agentic AI stack-open-weight large language models served at scale, retrieval-augmented generation (RAG) pipelines, a Model Context Protocol (MCP) server framework, sandboxed execution, and multi-agent orchestration-and will direct a distributed engineering effort spanning the collaborating institutions. The position is supervised by and co-located with the Principal Investigator at CARC, with secondary mentorship from collaborating co-investigators at partner institutions. All work follows open-source, reproducible-research practice. 

Primary Duties and Responsibilities 

  1. Leads the design, development, and evaluation of the project's agentic AI platform, including the serving of open-weight large language models (e.g., vLLM-served models), retrieval-augmented generation pipelines, the Model Context Protocol (MCP) server framework, sandboxed code execution, and multi-agent orchestration.
  2. Directs and coordinates a distributed engineering effort, leading regular technical meetings with the partner-institution team and graduate research assistants, and presenting at design reviews and project milestones.
  3. Conducts benchmarking and performance evaluation of LLM serving and agentic workflows on high-performance GPU systems (e.g., H100 / A100 / L40S) and national cloud allocations, and documents empirical hardware and performance findings.
  4. Leads and contributes to peer-reviewed, open-access publications (target of at least two first-author papers), and disseminates results through public code repositories, containerized reproducible workflows with persistent identifiers (DOIs), and FAIR data practices.
  5. Participates in security and responsible-AI review activities, including prototype security review and engagement with the project's external AI ethics advisory board.
  6. Co-teaches research-computing and data-science training workshops (e.g., R, Python, Linux, ML/AI pipelines) and contributes training modules to the project's education and workforce-development activities.
  7. Co-mentors graduate research assistants contributing to the agentic AI and MCP workstreams.
  8. Participates in the annual program meeting and represents the project's technical progress to collaborators, sponsor program staff, and the broader research community.
  9. Contributes to grant reporting and to the preparation of follow-on proposals, including empirical hardware-specification and benchmarking content.
  10. Performs related duties as assigned in support of the project's goals and the Fellow's professional development. 

Mentoring and Professional Development 
Consistent with UNM's expectations for postdoctoral training, the Fellow and mentor will jointly prepare an Individual Development Plan (IDP) within 30 days of hire, organized around the National Postdoctoral Association core competencies, with semiannual review. The Fellow will receive weekly one-on-one mentorship from the PI, structured career advising across academic, national-laboratory, and industry pathways, grant-writing experience, and visibility through the project's national partner network. The Fellow will complete UNM's Responsible Conduct of Research (RCR) training within the first six months.
Due to budgetary constraints, we are unable to sponsor or take over sponsorship of an employment Visa. Applicants must be authorized to work in the United States on a full-time basis.

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