ai trainer remote

YO IT CONSULTING

<div><div><h2 class="jobSectionHeader">Role Overview</h2>
Collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. Contractors will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models.
<h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Synthesize information from large volumes of data
</li><li>Annotate and categorize text, images, and other data according to detailed guidelines
</li><li>Apply predefined rubrics and taxonomies to produce structured, high-quality outputs
</li><li>Flag inconsistencies, ambiguities, or errors in datasets
</li><li>Contribute to the improvement of AI systems through consistent annotation work
</li></ul><h2 class="jobSectionHeader">Ideal Qualifications</h2>
<ul><li>Based in the United States
</li><li>Ability to synthesize complex or high-volume information into structured formats
</li><li>Strong critical reasoning, reading comprehension, and written communication skills
</li><li>Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)
</li></ul><h2 class="jobSectionHeader">More About the Opportunity</h2>
<ul><li>Expected commitment: ~20 hours/week</li>
</ul><h2 class="jobSectionHeader">Application Process</h2>
<ul><li>Submit your resume to begin
</li><li>Complete a Training Assessment
</li><li>Typical response time: 1&ndash;2 business days
</li></ul>We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
</div><div><h2 class="jobSectionHeader">Contract and Payment Terms</h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Your work will not involve access to confidential or proprietary information from any employer, client, or institution.</li>
<li>Payments are weekly on Stripe or Wise, based on services rendered.</li></ul></div></div>

AI Trainer - Remote

<div>Work Mode: Remote 
Engagement Type: Independent Contractor 
Schedule: Full-Time or Part-Time Contract
Role:
Partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions.
This project focuses on evaluating and improving general chat behavior in large language models (LLMs). You will assess model-generated responses across diverse topics, provide high-quality human feedback, and help ensure AI systems communicate in ways that are accurate, well-reasoned, and aligned with human expectations.
What You&rsquo;ll Do
<ul><li>Evaluate LLM-generated responses on their ability to effectively answer user queries
</li><li>Conduct fact-checking using trusted public sources and external tools
</li><li>Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies
</li><li>Assess reasoning quality, clarity, tone, and completeness of responses
</li><li>Ensure model responses align with expected conversational behavior and system guidelines
</li><li>Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines
</li></ul>Who You Are
<ul><li>You hold a Bachelor&rsquo;s degree
</li><li>You are a native speaker or have ILR 5/primary fluency (C2 on the CEFR scale) in Arabic
</li><li>You have significant experience using large language models (LLMs) and understand how and why people use them
</li><li>You have excellent writing skills and can clearly articulate nuanced feedback
</li><li>You have strong attention to detail and consistently notice subtle issues others may overlook
</li><li>You are adaptable and comfortable moving across topics, domains, and customer requirements
</li><li>You have a background or experience in domains requiring structured analytical thinking (e.g., research, policy, analytics, linguistics, engineering)
</li><li>You have excellent college-level mathematics skills
</li></ul>Nice-to-Have Specialties
<ul><li>Prior experience with RLHF, model evaluation, or data annotation work
</li><li>Experience writing or editing high-quality written content
</li><li>Experience comparing multiple outputs and making fine-grained qualitative judgments
</li><li>Familiarity with evaluation rubrics, benchmarks, or quality scoring systems
</li></ul>What Success Looks Like
<ul><li>You identify factual inaccuracies, reasoning errors, and communication gaps in model responses
</li><li>You produce clear, consistent, and reproducible evaluation artifacts
</li><li>Your feedback leads to measurable improvements in response quality and user experience
</li></ul><h2 class="jobSectionHeader">Contract and Payment Terms</h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div>

Arabic & English Ai Trainer - Remote

<div>Remote
Contract
<div><h3 class="jobSectionHeader">Role Description</h3>
Are you ready to take on a pivotal role in ensuring the highest standards in AI training? We are looking for an Arabic-speaking Quality Assurance Lead to help ensure consistently high standards in our AI data training projects. This role combines the opportunity to work with modern AI systems with the responsibility of maintaining high-quality Arabic content, making it a strong fit for people who are passionate about both technology and precision. You will play a crucial role in guaranteeing the quality and efficiency of our AI training processes, ultimately contributing to the success of our projects.</div>
<div><h3 class="jobSectionHeader">Your Profile</h3>
<ul><li>Academic / professional background: Bachelor&rsquo;s or Master&rsquo;s degree in Linguistics, Communication, Journalism or related field.</li>
<li>Arabic mastery: Exceptional written Arabic with excellent grammar, syntax, and stylistic flexibility (formal, neutral, conversational).</li>
<li>LLM training experience: Hands-on experience with LLM projects preferably in QA or lead roles</li>
<li>English proficiency: minimum C1 English for documentation, async communication, and collaboration with a global team.</li>
<li>Analytical &amp; detail-oriented: You notice inconsistencies, edge cases, and guideline gaps, and are comfortable working with detailed instructions.</li>
<li>Leadership mindset: Comfortable working independently, giving feedback, and keeping the trainer/QA community engaged and supported.</li>
</ul></div><div><h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Quality: Conduct regular spot checks on items, provide clear and constructive feedback to trainers, and escalate issues when necessary.</li>
<li>Communication: Keep trainers and QAs updated on Discord about new items or project changes, and respond to their questions in a timely and professional manner.</li>
<li>Activation management: Monitor trainer/QA activity and proactively communicate to inactive contributors to understand blockers and encourage re-engagement.</li>
<li>Documentation: Create, maintain, and improve key documents such as style guides, trackers, FAQs, honeypots, and related documents.</li>
<li>Onboarding &amp; training: Schedule, organize, and run onboarding and training calls with trainers/QAs to ensure they understand the guidelines and expectations.</li></ul></div></div><div></div>

Arabic Ai Data Trainer Lead

Prolific

<div><h2 class="jobSectionHeader">AI Trainer - Arabic Fluency (Egypt)</h2> 

<h4 class="jobSectionHeader">
About Prolific</h4>

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.
<h4 class="jobSectionHeader">
The role</h4>

We are seeking fluent Arabic (Egypt) speakers to participate in a high-impact AI training initiative. Unlike standard data entry, this role focuses on live human-to-human connection.

You'll be paired with another participant to engage in natural, flowing conversations, which will help train the next generation of conversational AI. This is a short-term &quot;sprint&quot; project with high availability requirements.

Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. 

<h4 class="jobSectionHeader">
What you'll bring</h4>
<ul><li>Native/ Advanced fluency: Verifiable experience and birth-country for the Egypt region.</li>
<li>Technical readiness: A willingness to complete a paid TestGorilla language assessment and a dialect verification check.</li>
<li>Availability: Ability to commit to 30-60 minute blocks of uninterrupted conversation during the 3-week project window.</li>
<li>Tool: A reliable internet connection, a quiet environment for calls, and a PayPal account for payment.</li>
</ul><h4 class="jobSectionHeader">What you'll be doing in the role</h4>
<ul><li>Live pairings: You will be matched with another participant for 1-on-1 verbal or text-based exchanges.</li>
<li>Dialect authenticity: Use your natural Egyptian Arabic dialect to discuss various topics provided by the researcher.</li>
<li>Collaborative learning: Help the AI understand the nuances, slang and cultural context of Egyptian Arabic through real-world interaction.</li>
</ul><h4 class="jobSectionHeader">Why Prolific is a great platform to join as a Domain Expert participant</h4>

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. 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.
<h4 class="jobSectionHeader">
Links to more information on Prolific</h4>

Website

Youtube
<h4 class="jobSectionHeader">
Privacy Statement</h4>

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 information.</div>

AI Trainer - Arabic Fluency (Egypt)

Koenig Solutions Ltd

Job Title: Corporate Trainer &ndash; GCP, Red Hat &amp; DevOps Experience: 3 &ndash; 5 Years Work Mode: Remote (Full-Time | Global Travel as required)CTC &ndash; to be managed as per your complianceRole OverviewWe are seeking a highly experienced and knowledgeable Corporate Trainer &ndash; GCP, Red Hat &amp; DevOps to design and deliver comprehensive, high-quality training programs for enterprise-level clients across global locations. The ideal candidate will possess deep expertise in GCP, Red Hat &amp; DevOps administration and related technologies, with a strong focus &ndash; GCP, Red Hat &amp; DevOps environments.This is a work-from-home role, requiring the trainer to conduct virtual training sessions using modern digital platforms.About KoenigEstablished in the year 1993, Koenig Solutions is a reputed training organisation. The secret of our success is our belief that good training requires &quot;Excellent Trainers,&quot; and our strive to retain the best.Our vision is to contribute to a more equitable and prosperous world through education. Today, Koenig has offices across the globe to help accomplish that vision.Key Responsibilities&middot; Deliver instructor-led, hands-on training programs on Google Cloud Platform (GCP), Red Hat Enterprise Linux, and DevOps technologies for corporate and professional learners&middot; Conduct in-depth training on core GCP services including Compute Engine, VPC, IAM, Cloud Storage, BigQuery, GKE, CI/CD pipelines, Monitoring &amp; Logging&middot; Provide Red Hat training covering RHEL administration, shell scripting, networking, user &amp; group management, package management, SELinux, and firewall configuration&middot; Deliver DevOps training on Git/GitHub, Jenkins, Docker, Kubernetes, Ansible, Terraform, and CI/CD automation&middot; Design and execute hands-on labs, real-world production scenarios, assignments, and assessments&middot; Stay updated with the latest cloud, Linux, DevOps tools, certifications, and industry best practicesRequired Qualifications &amp; Skills&middot; Google Cloud Certified &ndash; Professional Cloud Architect or Professional Cloud Engineer certification is strongly preferred.&middot; Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer (RHCE) certification is mandatory.&middot; Certified Kubernetes Administrator (CKA) or an equivalent Kubernetes certification is strongly preferred.&middot; 3&ndash;5 years of hands-on experience in Google Cloud Platform, Red Hat Enterprise Linux, and DevOps tools&middot; Strong practical expertise in cloud infrastructure, Linux system administration, containerization, and automation&middot; Proven experience delivering instructor-led virtual or classroom training&middot; Ability to design, build, and troubleshoot real-world cloud and DevOps environments&middot; Excellent presentation, communication, and facilitation skills, with the ability to simplify complex technical concepts&middot; Strong documentation skills with experience creating training decks, labs, case studies, and assessments&middot; Comfortable delivering training using virtual platforms such as MS Teams or Zoom&middot; Strong problem-solving mindset and learner-focused approachAdditional Requirements<ul><li>Willingness to travel globally to deliver on-site corporate training programs when required.</li><li>Flexibility to work according to international client time zones, including evenings or weekends as per business needs.</li><li>Ability to maintain a professional work-from-home setup suitable for virtual training delivery.</li><li>Experience working with diverse learner groups across different cultures and geographies, demonstrating adaptability and cultural sensitivity.</li></ul>Job Type: Full-timePay: E&pound;42,786.00 - E&pound;57,048.00 per monthApplication Question(s):<ul><li>How many years of Delivering Training experience do you have?</li></ul>Experience:<ul><li> Delivering Training: 2 years (Required)</li></ul>License/Certification:<ul><li>Certified Kubernetes Administrator (Required)</li><li> (RHCSA) or (RHCE) (Required)</li></ul>

Technical Trainer - GCP, RedHat, DevOps (RHCSA, CKA Certified)

<div>Work Mode: Remote 
Engagement Type: Independent Contractor 
Schedule: Full-Time or Part-Time Contract
Language Requirement: Fluent English
<div><h3 class="jobSectionHeader">Role Description</h3>
As an hourly-paid, fully remote Go Engineer for AI Data Training, you will review AI-generated Go code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, readability, and adherence to backend-style best practices; identify errors in concurrency, error handling, or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Go; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with, Careers, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the world&rsquo;s largest AI companies and foundation model labs, and your work will directly help improve the world&rsquo;s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.</div>
<div><h3 class="jobSectionHeader">Your Profile</h3>
<ul><li>2+ years of professional Go programming experience, ideally focused on backend services, APIs, or systems work.</li>
<li>Strong understanding of Go idioms, including clear error handling, composition over inheritance, and simple, readable interfaces.</li>
<li>Hands-on software engineering experience building and maintaining backend-style Go applications in production environments.</li>
<li>Ability to evaluate correctness and readability in backend-oriented Go code, including concurrency patterns, error propagation, and API design.</li>
<li>Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating their output.</li>
<li>Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations.</li>
<li>Minimum Bachelor&rsquo;s degree in Computer Science or a closely related technical field.</li>
<li>Previous experience with AI data training, code review at scale, or evaluation of AI-generated technical content is strongly preferred; Minimum C1 English proficiency and an extremely detail-oriented working style are required.</li>
<li>Highly preferred: hands-on experience with Go frameworks and libraries such as Gin, gRPC, or Echo in real projects.</li>
<li>Preferred: merged PRs in Go open-source projects, competitive programming experience, cloud-native development exposure, and familiarity with Go performance profiling tools and techniques.</li>
</ul></div><div><h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.</li>
<li>Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.</li>
<li>Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.</li></ul></div></div>

Golang/Go Developer LLM - Remote

Alignerr

<div>
 
 About The Job
 
 
 
 At Alignerr, we partner with the world&rsquo;s leading AI research teams and labs to build and train cutting-edge AI models.
 
 
 We&rsquo;re building and evaluating advanced AI systems that reason through security incidents, alerts, and investigations in order to better mirror real-world response environments. You will work with realistic SOC scenarios to ensure AI outputs reflect how analysts actually detect, triage, and respond to threats.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : Security Operations Analyst
 
 Type
 
 : Contract / Task-Based
 
 Compensation
 
 : $30&ndash;$60 /hour
 
 Location
 
 : Remote
 
 Commitment
 
 : 10&ndash;40 hours/week
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Analyze incident and alert scenarios to understand what is happening and why it matters
 </li>
 <li>
 Classify severity, determine root causes, and recommend appropriate response actions
 </li>
 <li>
 Review detection logic and investigation workflows
 </li>
 <li>
 Help validate AI outputs so they align with how security analysts work in practice
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 2+ years in SOC, incident response, or security operations roles
 </li>
 <li>
 Familiarity with SIEM platforms, alert triage, and investigation workflows
 </li>
 <li>
 Ability to distinguish true security signals from background noise and false positives
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Work directly on frontier AI systems.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10&ndash;15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Security Operations Analyst

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