ai model evaluator

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 Academic Research Collaborator - Professors &amp; PhDs
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $80&ndash;$110/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Design challenging, real-world domain-specific problems in areas like financial modeling, legal reasoning, econometrics, ML, and coding. Focus on addressing core capability loss failures in frontier AI models.
 </li>
 <li>
 Integrate problems into an Agentic development environment using Python. Prepare all necessary components for robust task execution.
 </li>
 <li>
 Evaluate the target model's performance on designed tasks. Analyze outcomes to improve model reasoning and outputs.
 </li>
 <li>
 Identify tasks where the model fails to pass tests. Classify failures as logical reasoning issues to guide future improvements.
 </li>
 <li>
 Collaborate with domain experts to enhance AI model training and ensure task relevance and accuracy.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 Current or retired professor, or PhD student, in STEM or professional/quantitative domains.
 </li>
 <li>
 Degree or PhD in progress from a top university.
 </li>
 <li>
 Working proficiency in Python applied in research, industry, GitHub, or coursework.
 </li>
 <li>
 Ability to engage reliably for 30+ hours/week during weekdays.
 </li>
 <li>
 Basic ability to work independently and manage time effectively.
 </li>
 <li>
 Strong verbal and written communication skills.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Past experience in AI training, model evaluation, and data annotation.
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Academic Researcher - Fully Remote | Upto $110/yr

Prolific

<div>
 
 AI Trainer &ndash; Machine Learning Specialists
 
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We&rsquo;re looking for
 
 AI Trainer &ndash; Machine Learning Specialists
 
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we&rsquo;ll send you a quick
 
 10- to 15-minute test
 
 to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to
 
 $150/hr per AI task completed
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 What you&rsquo;ll bring
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you&rsquo;ll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
 </li>
 <li>
 Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
 </li>
 <li>
 Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 General AI Training
 </li>
 <li>
 Model Evaluation and Evals
 </li>
 <li>
 Trust and Safety
 </li>
 <li>
 Red Teaming
 </li>
 <li>
 Quality Analytics
 </li>
 <li>
 Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Training - Machine Learning Specialist (EST)

DataAnnotation

<div>
 We are looking for an existing AI Content Writing Specialist to help train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role, you will need to hold an expert level of writing, editing, and content development. Other related fields include, but are not limited to: Communications and/or Journalism.
 
 
 
 Advantages Of Contracting With Us
 
 
 
 <ul>
 <li>
 You'll be able to choose which projects you want to work on and when
 </li>
 <li>
 You work on your own schedule, on your own computer, from the comfort of your own home
 </li>
 <li>
 Projects are paid hourly starting at $25-$30+/hr, with bonus rates available on some projects
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Excellent command of grammar, style, and brand voice
 </li>
 <li>
 A current, in progress, or completed Bachelor's is preferred but not required
 </li>
 <li>
 Detail-oriented Excellent command of grammar, style, and brand voice.
 </li>
 <li>
 A current, in progress, or completed Bachelor's is preferred but not required.
 
 
 </li>
 </ul>
 
 Note
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contractor position.
 
 
 #generalist
</div>

AI Content Writing Specialist - AI Trainer

CP Marine LLC

<div>
 
 Overview
 
 
 
 A leader in cutting-edge research and technology in the cyber arena, CPMG focuses on using business drivers to guide cybersecurity activities and manage risk. CPMG offers flexible, integrative solutions for Department of Defense (DoD) contractors, among others, and specializes in cybersecurity, information and operational technology, electronic security surveillance, and support services.
 
 
 
 Summary:
 
 
 
 The Agile Evaluator provides independent assessment, oversight, and evaluation of Agile software development activities supporting MyNavy programs, applications, and enterprise information systems. The position evaluates Agile processes, software development performance, program execution, and delivery outcomes to ensure alignment with mission objectives, Department of the Navy requirements, and Agile best practices.
 
 
 The Agile Evaluator serves as a trusted advisor to Government leadership by assessing the effectiveness of Agile teams, identifying risks and impediments, validating compliance with program objectives, and recommending continuous process improvements that support successful delivery of mission-critical capabilities.
 
 
 
 Hybrid/Remote: MUST BE LOCATED IN THE NEW ORLEANS, LA AREA.
 
 
 
 
 Responsibilities
 
 
 
 
 Essential Job Functions:
 
 
 
 <ul>
 <li>
 Evaluate Agile software development efforts supporting MyNavy applications and enterprise systems.
 </li>
 <li>
 Assess compliance with Agile frameworks, including Scrum, Kanban, Lean Agile, and DevSecOps practices.
 </li>
 <li>
 Review sprint planning, backlog management, release planning, user story development, and stakeholder engagement activities.
 </li>
 <li>
 Assess the effectiveness of Agile ceremonies, including daily stand-ups, sprint reviews, retrospectives, and backlog refinement sessions.
 </li>
 <li>
 Analyze Agile performance metrics, team velocity, sprint outcomes, defect trends, and release readiness.
 </li>
 <li>
 Evaluate software quality assurance, testing, configuration management, and deployment processes.
 </li>
 <li>
 Identify risks, schedule impacts, process gaps, and opportunities for continuous improvement.
 </li>
 <li>
 Develop findings, recommendations, and corrective action plans to improve program performance.
 </li>
 <li>
 Prepare assessment reports, executive summaries, and briefings for Government stakeholders.
 </li>
 <li>
 Support program governance, quality assurance reviews, and independent verification activities.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Necessary Skills and Knowledge:
 
 
 
 <ul>
 <li>
 Strong analytical, organizational, written, and verbal communication skills.
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Information Technology, Computer Science, Engineering, Business Management, or a related discipline.
 </li>
 <li>
 Current Certified ScrumMaster (CSM) certification issued by the Scrum Alliance, or equivalent Agile Scrum Master certification.
 </li>
 <li>
 Minimum of three (3) to five (5) years of experience supporting Agile software development, software project management, software quality assurance, program evaluation, or related information technology programs.
 </li>
 <li>
 Demonstrated experience working within Agile development environments supporting software delivery initiatives.
 </li>
 <li>
 Experience evaluating project performance, Agile team effectiveness, and software development processes.
 </li>
 <li>
 Requires a successful completion of a DOW (DoD) background investigation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience supporting Department of Defense (DoD), Department of the Navy, or Federal Government software development programs.
 </li>
 <li>
 Familiarity with MyNavy applications, personnel systems, readiness systems, or enterprise business systems.
 </li>
 <li>
 Knowledge of Agile maturity assessments, DevSecOps, CI/CD pipelines, and software development lifecycle (SDLC) methodologies.
 </li>
 <li>
 Additional certifications such as:
 </li>
 <ul>
 <li>
 PMI Agile Certified Practitioner (PMI-ACP)
 </li>
 <li>
 Project Management Professional (PMP)
 </li>
 <li>
 SAFe Agilist (SA)
 </li>
 <li>
 ITIL Foundation
 
 </li>
 </ul>
 </ul>
 
 Pay And Benefits
 
 
 
 The salary range for this position is $95,000 to $135,000 annually.
 
 
 At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.
</div>

Agile Evaluator

CR Makina

Job OverviewCR Makina is seeking a detail-oriented and analytical Industrial Machinery Asset Evaluator to assess, inspect, and determine the market and operational value of industrial machinery and equipment. The ideal candidate will have strong technical knowledge of heavy machinery, asset valuation practices, and industrial operations.Key Responsibilities<ul><li>Conduct inspections and evaluations of industrial machinery and equipment</li><li>Assess asset condition, operational efficiency, and resale value</li><li>Prepare detailed valuation and condition reports</li><li>Maintain accurate documentation and compliance records</li><li>Coordinate with engineering, operations, and finance teams</li><li>Research market trends and machinery pricing data</li><li>Ensure evaluations comply with applicable industry and regulatory standards</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree or equivalent technical background in Mechanical Engineering, Industrial Engineering, or related field preferred</li><li>Experience in industrial equipment, machinery operations, asset management, or valuation is an advantage</li><li>Strong analytical and reporting skills</li><li>Ability to interpret technical specifications and maintenance records</li><li>Proficiency with Microsoft Office and reporting systems</li><li>Strong communication and organizational abilities</li></ul>Compensation &amp; Benefits<ul><li>Competitive monthly salary of QAR 16,500</li><li>Annual paid leave in accordance with applicable labor regulations</li><li>End-of-service benefits as per government labor code requirements</li><li>Medical insurance coverage</li><li>Paid public holidays</li><li>Professional development and training opportunities</li><li>Transportation and/or housing allowance may be provided based on company policy</li></ul>Work Environment<ul><li>Professional industrial and technical work setting</li><li>Opportunities for career growth and advancement</li><li>Collaborative and safety-focused culture</li></ul>الراتب المدفوع: QAR١٦٬٥٠٠٫٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Industrial Machinery Asset Evaluator

Etisalat

<div><div>AI Development Senior Principal Engineer.Customer and Partner Management - (260000ZA)</div><div>
Description<div></div> 
Job Purpose
Lead AI model development programs (OCR, multimodal, conversational AI, agentic AI, STT/TTS), define the technical roadmap for model capabilities, guide PoCs to production, and ensure the AI product portfolio delivers measurable business impact.

Report To Position Name
Strategy &amp; Roadmap Define AI/GenAI roadmap aligned with business strategy (conversational experiences, voice automation, knowledge assistants). Evaluate vendor vs open-source LLM options; define hybrid multi-LLM strategies. Product &amp; PoC Leadership Lead productization: turn PoCs into resilient AI services (model lifecycle, monitoring, rollout). Sponsor and validate PoCs for agentic AI, RAG-driven assistants, multimodal features and STT/TTS voice bots. Architecture &amp; Governance Define model architecture standards, security and compliance guardrails, and explainability approaches. Set MLOps standards (training pipelines, model registry, CI/CD for models, drift detection). Team Leadership Manage and grow a high-performing AI engineering team; mentor senior staff and data scientists. Coordinate cross-functional efforts with platforms, product and operations. Stakeholder Engagement Translate business requirements into model specs, ROI assumptions and deployment plans. Present outcomes and technical risk to executive stakeholders.<div> 
</div></div><div>
Qualifications<div></div> 
QUALIFICATIONS_ESSENTIAL
Master's or PhD in AI/ML strongly preferred 
QUALIFICATIONS_DESIRABLE
Architect enterprise solutions for production scaling, cost/latency trade-offs, model governance. 
EXPERIENCE_ESSENTIAL
4+ years in AI/ML, including leadership delivering commercial AI products. 
EXPERIENCE_DESIRABLE
Expert in generative AI, agentic systems, RAG, embeddings &amp; vector DBs, STT/TTS solutions, production MLOps and ethical AI practices 
CERTIFICATIONS_ESSENTIAL
N/AN<div> 
</div></div><div>
Job: Senior Principal Engineer</div><div>
Organization: Etisalat-Misr</div><div>
Job Posting: 07/Jun/2026, 12:42:16 PM</div></div>

AI Development Senior Principal Engineer.Customer and Partner Management

NXP Semiconductors

<div>Senior Quantization Engineer - Edge AI Model Optimization 
 
We at NXP have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do, where every point of view is valued. Join us!
Job Summary
We are seeking a highly skilled Edge AI Engineer/Scientist with a strong theoretical foundation in AI and solid software engineering expertise to contribute to our Edge AI Model Optimization program. While the primary focus of this role is on model quantization, the scope also includes complementary optimization strategies such as speculative decoding, pruning, and other methods for ensuring highly efficient on-device deployment.
You will work at the forefront of innovation, bridging the gap between research and practice, focusing on CNNs, Large Language Model (LLM) and Vision Language Model (VLM) optimization to bring advanced capabilities to NXP&rsquo;s Ara2 family of NPUs, directly supporting the future of on‑device intelligence.
If you want to the future of efficient on‑device AI, this is the place to be.
Job Responsibilities
Research: Actively survey the latest research (NeurIPS, ICLR, CVPR) on model optimization/compression, focusing particularly on neural network quantization, but also including other techniques like speculative decoding, pruning, etc.
 
Prototyping: Develop and adapt state-of-the-art methods to NXP&rsquo;s hardware constraints, building POCs to showcase the effectiveness of these techniques on NXP HW.
 
Production Implementation: Translate research prototypes into robust, optimized production code (C++/Python), ensuring strict memory and compute efficiency standards.
 
Systems Integration: Document algorithmic tradeoffs, derive deployment recipes, and mentor the engineering team on numerical methods and optimization.
 
Cross-Functional Leadership: Act as the technical bridge between AI Research, Hardware Engineering and other teams, providing quantified guidance on how choices impact model accuracy and performance.
 
IP Generation: Contribute to NXP&rsquo;s intellectual property portfolio through patents and technical publications.
Job Qualifications
Required Background
Education: MSc or Ph.D (is a plus) in Computer Science, Electrical Engineering, or Mathematics with a focus on Machine Learning or Deep Learning.
 
AI Expertise: Proven practical experience in AI/ML with a deep understanding of CNN architectures and Generative AI (Transformers, LLMs, VLMs, etc.).
 
Technical Stack: Strong hands-on experience with PyTorch, ONNX, and model conversion/optimization pipelines.
 
Software Engineering: Proficient in Python and C++ and best development practices.
 
Embedded Mindset: Familiarity with the constraints of embedded systems (latency, power, memory bandwidth) and how code interacts with underlying hardware.
Preferred
Advanced AI: Experience with state-of-the-art quantization techniques for discriminative and generative AI (e.g., GPTQ, SpinQuant, etc).
 
Hardware Acceleration: Experience with NPUs, device-level profiling, and diagnosing memory bottlenecks.
 
Kernel Development: Experience with custom kernel development is a plus.
 
Compilers: Knowledge of MLIR or TVM is a significant plus. 
 
We at NXP have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do, where every point of view is valued. Join us!
Job Summary
We are seeking a highly skilled Edge AI Engineer/Scientist with a strong theoretical foundation in AI and solid software engineering expertise to contribute to our Edge AI Model Optimization program. While the primary focus of this role is on model quantization, the scope also includes complementary optimization strategies such as speculative decoding, pruning, and other methods for ensuring highly efficient on-device deployment.
You will work at the forefront of innovation, bridging the gap between research and practice, focusing on CNNs, Large Language Model (LLM) and Vision Language Model (VLM) optimization to bring advanced capabilities to NXP&rsquo;s Ara2 family of NPUs, directly supporting the future of on‑device intelligence.
If you want to the future of efficient on‑device AI, this is the place to be.
Job Responsibilities
Research: Actively survey the latest research (NeurIPS, ICLR, CVPR) on model optimization/compression, focusing particularly on neural network quantization, but also including other techniques like speculative decoding, pruning, etc.
 
Prototyping: Develop and adapt state-of-the-art methods to NXP&rsquo;s hardware constraints, building POCs to showcase the effectiveness of these techniques on NXP HW.
 
Production Implementation: Translate research prototypes into robust, optimized production code (C++/Python), ensuring strict memory and compute efficiency standards.
 
Systems Integration: Document algorithmic tradeoffs, derive deployment recipes, and mentor the engineering team on numerical methods and optimization.
 
Cross-Functional Leadership: Act as the technical bridge between AI Research, Hardware Engineering and other teams, providing quantified guidance on how choices impact model accuracy and performance.
 
IP Generation: Contribute to NXP&rsquo;s intellectual property portfolio through patents and technical publications.
Job Qualifications
Required Background
Education: MSc or Ph.D (is a plus) in Computer Science, Electrical Engineering, or Mathematics with a focus on Machine Learning or Deep Learning.
 
AI Expertise: Proven practical experience in AI/ML with a deep understanding of CNN architectures and Generative AI (Transformers, LLMs, VLMs, etc.).
 
Technical Stack: Strong hands-on experience with PyTorch, ONNX, and model conversion/optimization pipelines.
 
Software Engineering: Proficient in Python and C++ and best development practices.
 
Embedded Mindset: Familiarity with the constraints of embedded systems (latency, power, memory bandwidth) and how code interacts with underlying hardware.
Preferred
Advanced AI: Experience with state-of-the-art quantization techniques for discriminative and generative AI (e.g., GPTQ, SpinQuant, etc).
 
Hardware Acceleration: Experience with NPUs, device-level profiling, and diagnosing memory bottlenecks.
 
Kernel Development: Experience with custom kernel development is a plus.
 
Compilers: Knowledge of MLIR or TVM is a significant plus. 
 
More information about NXP in India...
#LI-29f4</div>

Senior Quantization Engineer - Edge AI

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