I

Invisible Technologies

AI-assisted BPO and task outsourcing

HTML Coding Specialist - Freelance AI Trainer Project - Freelance AI Trainer Project

Contract
No salary listed
Mid
Bachelor's, Master's, PhD
Remote in India
Remote
AI & Machine LearningApplied Machine Learning

About the job

Requirements
  • HTML proficiency is required; experience with JavaScript and/or TypeScript.
  • A bachelor’s, master’s, or PhD in computer science, software engineering, or a closely related technical field is ideal.
  • Real-world HTML experience, technical writing, or open-source contributions signal fit.
  • Clear, metacognitive communication—“showing your work”—is essential.
Responsibilities
  • Converse with the model on software engineering tasks and technical scenarios using HTML, verify logical accuracy and coding fluency, assess code quality and clarity, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
Desired Qualifications
  • High level of fluency with algorithms, data structures, software architecture, frontend and backend development, cloud infrastructure, and systems programming using HTML.
  • Familiarity with asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems.
  • Documenting every failure mode so we can harden model reasoning.
  • A pay range $6 to $65 per hour and contractor status details are listed but not required as qualifications.

About the company

I

Invisible Technologies

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Invisible Technologies combines AI with a global workforce to automate repetitive digital work under a subscription-based model with a dedicated assistant for each client. Clients choose a plan and tasks are automatically routed to AI or human agents, with a transparent portal that shows progress, usage, and billing. The service emphasizes a high-touch, long-term partnership and a predictable, managed workflow, differentiating from traditional outsourcing and big automation providers with its dedicated assistant and visibility. The goal is to streamline operations, boost efficiency, and cut costs by delivering faster, more transparent digital work at scale.

Company Size

1,001-5,000

Company Stage

Growth Equity (Venture Capital)

Total Funding

$107.9M

Headquarters

New York City, New York

Founded

2015

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Simplify Jobs

Simplify's Take

What believers are saying

  • Invisible raised $100 million in September 2025 at over $2 billion valuation.
  • March 2026 WeCP acquisition strengthens high-precision AI training and expert validation.
  • Matt Fitzpatrick said July 2026 humans stay essential for AI training for decades.

What critics are saying

  • Scale AI, Surge AI, and Mercor outspend Invisible in specialist talent acquisition.
  • Contractors report abrupt project endings, weak communication, and inconsistent workload across projects.
  • If labs internalize human feedback or synthetic data wins, Invisible loses core demand.

What makes Invisible Technologies unique

  • Invisible combines AI training, human expertise, and enterprise workflow automation end-to-end.
  • Meridial plus WeCP adds expert assessment, RL gyms, and simulation depth.
  • Its client list includes Microsoft, AWS, Cohere, SAIC, and Charlotte Hornets.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Remote Work Options

Performance Bonus

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

8%

2 year growth

6%
SuperbCrew
Oct 6th, 2026
An interview with Scott Downes, founder & CEO of Supernal AI.

An interview with Scott Downes, founder & CEO of Supernal AI. S SuperbCrew is a trusted resource for discovering innovative companies, emerging startups, and the latest technology trends. Scott Downes is CEO and founder of Supernal.ai. He is a seasoned technology executive with deep expertise in scaling AI-powered operations. As former CTO of Invisible Technologies - ranked #3 on the Inc. 5000 fastest-growing AI companies - he led the team and platform that brought the company to global scale and $134M in revenue. He also served as CTO at Infinity Constellation, the world's premier incubator for AI-enabled services. At Supernal, Scott is on a mission to bring the transformative power of modern AI to small and medium-sized businesses. Q: Could you provide its readers with a brief introduction to your company? A: Supernal AI helps small and mid-market businesses put advanced AI to work in ways that are practical, useful and tied to real business outcomes. I started Supernal after working at Invisible Technologies, where I had a front-row view of the development of the frontier models that helped ignite the current AI revolution. I wanted to take that same level of technology and make it accessible to businesses that are often overlooked. Today, SuperbCrew build AI operating systems and AI employees that help companies scale without losing the vision, culture and ways of working that made them successful in the first place. Q: What makes you the best choice? How are you unique? A: For years, businesses have paid what I think of as a double tax. They pay for software, and then they pay for people to operate software they may not fully use or even like. SuperbCrew want to change that model. Supernal combines a strong technology platform with a services approach that is deeply hands-on. Many people on its team worked at companies involved in building the frontier models powering the AI revolution, but SuperbCrew do not simply hand clients a platform and tell them to figure it out. SuperbCrew work backward from the business outcome they are trying to achieve and build around that. The goal is for technology to serve the business, not for the business to reorganize itself around technology. Q: Any highlights about your latest announcement? A: Its work on The Thorne Protocol has been an especially meaningful proof point. Creative industries are at the center of the debate over whether AI will replace the most human parts of work. SuperbCrew wanted to demonstrate another model. The story was written by humans, the performances were human and the production used real cameras, while AI supported the process around the creative team. The point was not simply to make a film trailer. It was to show that AI can accelerate complex work without taking the creative decisions away from people. SuperbCrew sometimes describe it as giving people an Iron Man suit: the technology should increase what talented people are capable of doing, not replace the person inside the suit. Q: What can SuperbCrew expect from you in the next 6 months? What are your plans? A: SuperbCrew is continuing to expand the idea of AI employees operating on top of AI operating systems built around the way a business actually works. The Thorne Protocol is a very visible example because filmmaking is complex, expensive and deeply human, but it is not a pivot into becoming a film technology company. The same approach applies to financial services and other industries where skilled people are trying to scale complicated processes. Over the next six months, SuperbCrew expect to keep proving that companies can use AI to create greater impact and scale while keeping humans in control of the work that matters most. Q: What is the best thing about your company that people might not know about? A: The thing people may not realize is how intentionally SuperbCrew combine elite AI talent with an almost fanatical focus on service. Many technology companies build a platform and leave the customer to figure out how to make it useful. Services firms may understand the customer's problem but lack the underlying technology. SuperbCrew built Supernal to do both. Its team brings experience from companies involved in building the frontier models behind today's AI boom, but its job is not finished when the technology works. It is finished when it creates an outcome the customer actually cares about.

Analytics Insight
Jun 11th, 2026
Leading generative AI companies building advanced RAG solutions in 2026.

Leading generative AI companies building advanced RAG solutions in 2026. DataRobot AI, Algoworks, BeyondKey, and Invisible Technologies are among the companies working on RAG-based AI solutions in 2026. They help businesses build smarter AI tools that can search for information and provide useful answers. Published on: 11 Jun 2026, 11:45 am Updated on: 11 Jun 2026, 11:45 am Overview. * DataRobot AI helps businesses build AI tools and use data more effectively. * Algoworks builds custom AI solutions that help companies bring automation into daily work. * BeyondKey creates AI-powered tools that help businesses find and manage information faster. Artificial intelligence has completely changed the business world. Companies are now using AI tools for customer support, data work, internal tasks, and many other daily operations. However, basic AI systems have multiple limitations. They may not always have the latest or most relevant information. This is where RAG solutions step in. Discover more AI technology insights Industry news analysis Crypto market trends Retrieval-Augmented Generation (RAG) allows AI tools to retrieve information from selected sources before generating an answer for users. These systems help businesses to create an AI system that is more useful for their own needs. The use of RAG solutions allows organizations to build smarter search tools, virtual assistants, and workplace apps. Some focus on customer experience, while others use AI to improve employee work. If you are looking for companies working on advanced generative AI and RAG solutions, these are a few names worth considering. DataRobot AI. Location: USA, Boston Founded in: 2012 DataRobot AI helps businesses build AI solutions without overcomplicating the process. The company develops tools that help teams use data, build AI models, and improve everyday decision-making. DataRobot AI is particularly useful for organizations that want an easier-to-use AI solution and don't need a large team to operate it. Its solutions help companies bring AI into their existing work without major changes. Algoworks. Discover more Currencies & Foreign Exchange Machine Learning & Artificial Intelligence Data analytics tools Location: Ramsey, New Jersey Founded in: 2006 Algoworks designs software, offers cloud services, and provides AI solutions. The company helps businesses build custom AI applications that fit their needs. Its RAG solutions enable companies to link AI tools to their own data. Algoworks is highly recommended for developing AI systems that fit the business workflow and not the other way around. Xperiencify Labs. Location: Austin, Texas, USA Founded in: 2019 Xperiencify Labs is working on AI-based solutions to improve digital experiences. The company develops tools to improve users' interaction with technology. This platform is specifically recommended for businesses looking for AI solutions focused on improving user experience. Its approach helps companies create tools that are easier to use. Codete. Location: Kraków, Poland Founded in: 2010 Codete is a software development company providing modern technology solutions. The company helps businesses embed AI features into their applications. Codete is recommended primarily for its ability to combine software skills with AI development. Companies can use the support to make existing apps smarter and provide users with better access to information. BeyondKey. Location: Chicago, Illinois Founded in: 2005 BeyondKey designs AI solutions to help businesses manage information and daily activities. The company is focused on generative AI and business applications. This company offers a practical solution for complex business problems. These are solutions companies can leverage to find information faster and make work easier for teams. Invisible Technologies. Location: San Francisco, California Founded in: 2015 Invisible Technologies helps companies implement technology and automation more effectively. The firm is developing AI tools for different business processes. Its focus on practical use cases is the primary reason why businesses should consider it. With the solution the company provides, organizations can reduce repetitive work and improve how teams handle daily tasks. Why RAG solutions are growing fast. Companies today process enormous amounts of information daily. It can be hard to find the right details fast. That's one of the main reasons companies are moving to RAG solutions. These AI systems allow companies to query their own data for answers. This makes them useful for customer support, employee help desks, and internal search. Another reason for their growth is trust. Companies want AI tools that respond to questions using their own data. RAG reduces errors based on the data sources you select. With AI becoming a bigger part of the workplace, companies are going to be looking for tools that are easy, reliable and helpful. RAG is changing how businesses use AI. Generative AI is no longer simply chatbots. Companies are now looking for AI tools that can understand their data and help them solve their daily problems. Businesses are moving toward smarter AI solutions with the help of companies like DataRobot AI, Algoworks, BeyondKey and Invisible Technologies. Each company focuses differently, ranging from automation to custom AI development. There isn't one AI company that is best for everyone. Some businesses just want better search tools. Others want AI to help them run their day-to-day. What the company wants to do will influence the right choice. As AI grows, businesses are likely to use more RAG solutions to manage information. FAQs. What is RAG in generative AI? Ans: RAG helps AI tools find information from selected sources before answering questions. It makes responses more useful by enabling AI to work with up-to-date, specific information. Why are companies using RAG solutions? Ans: Companies use RAG solutions to manage information better, improve AI responses, and help employees or customers find answers faster without spending extra time searching manually. Which companies provide RAG solutions? Ans: DataRobot AI, Algoworks, BeyondKey, and other AI companies provide solutions that help businesses create AI tools connected to their own information. Can small businesses use RAG-based AI tools? Ans: Yes, small businesses can use RAG tools for customer support, document searches, and simple automation tasks to save time and improve daily work. Is generative AI useful for businesses? Ans: Yes, generative AI helps businesses improve productivity, automate regular tasks, and create better digital experiences for customers and employees.

KnowledgeNile
Mar 11th, 2026
Invisible Technologies Agrees to Acquire WeCP to Strengthen Expert Validation for High-Precision AI Workflows

Invisible Technologies agrees to acquire WeCP to strengthen expert validation for high-precision AI workflows. Business wire India. Invisible Technologies today announced it has entered into an agreement to acquire WeCP, an AI-native technical assessment and intelligence platform known for its rigorously validated evaluation frameworks. As AI systems are deployed across engineering, healthcare, finance, and other complex domains, the quality of the experts shaping those systems has become increasingly critical. High-stakes AI workflows require structured, high-fidelity validation of domain specialists at scale. WeCP brings an AI-native assessment and intelligence platform, which to date has created over two million real-world technical interviews and more than 18,000 targeted domain and role-specific assessment frameworks across engineering, banking, healthcare, finance, and advanced STEM domains. It also has enhanced infrastructure for RL gyms and task simulation. Built over five years of continuous iteration, the platform enables precise evaluation of advanced technical talent. "This acquisition expands our foundation of high-precision AI training," said Matt Fitzpatrick, CEO of Invisible Technologies. "The performance of advanced AI systems depends on trusted human expertise, and WeCP's assessment engine has built one of the most extensively refined technical assessment libraries in the market. By integrating WeCP into Invisible's AI training platform, Meridial, we're raising the bar on precision and speed for expert evaluation across our platform while also accelerating our capabilities in RL gyms and simulated environments." WeCP was founded by NIT Trichy alumni Abhishek Kaushik, formerly of Google, and Mohit Goyal, formerly of Meta, with a vision to modernize technical evaluation. What started as an effort to improve interview question generation evolved into a comprehensive system for measuring real-world skill, reasoning, and domain expertise. Kaushik and Goyal will join Invisible along with several key members of the WeCP team and continue working on their core mission to advance expert assessment infrastructure. "We built WeCP to solve a fundamental challenge: traditional talent vetting does not scale for high-impact, high-precision work," said Abhishek Kaushik, CEO and Co-founder of WeCP. "Joining Invisible allows us to extend our assessment frameworks into advanced AI training environments where rigor and accuracy are essential." About Invisible Technologies. Invisible Technologies is building the platform that makes AI work. It adapts models to each business and adds human expertise when needed - the same approach used to improve models for over 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Invisible works across industries - from supply chain automation for Swiss Gear, to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for over half a decade, was ranked #2 fastest-growing AI company in 2024, and recently raised $100M to advance its platform technology About WeCP. Founded in India by Abhishek Kaushik and Mohit Goyal, alumni of NIT Trichy, WeCP is an AI-native technical assessment platform that designs structured, validated evaluation frameworks to measure real-world expertise across engineering, data science, machine learning, cloud infrastructure, cybersecurity, finance, and advanced STEM roles.

Business Wire
Mar 10th, 2026
Invisible Technologies Agrees to Acquire WeCP to Strengthen Expert Validation for High-Precision AI Workflows

Invisible Technologies agrees to acquire WeCP to strengthen expert validation for high-precision AI workflows. Invisible Technologies today announced it has entered into an agreement to acquire WeCP SAN FRANCISCO & BENGALURU, India-(BUSINESS WIRE)-Invisible Technologies today announced it has entered into an agreement to acquire WeCP, an AI-native technical assessment and intelligence platform known for its rigorously validated evaluation frameworks. As AI systems are deployed across engineering, healthcare, finance, and other complex domains, the quality of the experts shaping those systems has become increasingly critical. High-stakes AI workflows require structured, high-fidelity validation of domain specialists at scale. WeCP brings an AI-native assessment and intelligence platform, which to date has created over two million real-world technical interviews and more than 18,000 targeted domain and role-specific assessment frameworks across engineering, banking, healthcare, finance, and advanced STEM domains. It also has enhanced infrastructure for RL gyms and task simulation. Built over five years of continuous iteration, the platform enables precise evaluation of advanced technical talent. "This acquisition expands our foundation of high-precision AI training," said Matt Fitzpatrick, CEO of Invisible Technologies. "The performance of advanced AI systems depends on trusted human expertise, and WeCP's assessment engine has built one of the most extensively refined technical assessment libraries in the market. By integrating WeCP into Invisible's AI training platform, Meridial, we're raising the bar on precision and speed for expert evaluation across our platform while also accelerating our capabilities in RL gyms and simulated environments." WeCP was founded by NIT Trichy alumni Abhishek Kaushik, formerly of Google, and Mohit Goyal, formerly of Meta, with a vision to modernize technical evaluation. What started as an effort to improve interview question generation evolved into a comprehensive system for measuring real-world skill, reasoning, and domain expertise. Kaushik and Goyal will join Invisible along with several key members of the WeCP team and continue working on their core mission to advance expert assessment infrastructure. "We built WeCP to solve a fundamental challenge: traditional talent vetting does not scale for high-impact, high-precision work," said Abhishek Kaushik, CEO and Co-founder of WeCP. "Joining Invisible allows us to extend our assessment frameworks into advanced AI training environments where rigor and accuracy are essential." About Invisible Technologies Invisible Technologies is building the platform that makes AI work. It adapts models to each business and adds human expertise when needed - the same approach used to improve models for over 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Invisible works across industries - from supply chain automation for Swiss Gear, to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for over half a decade, was ranked #2 fastest-growing AI company in 2024, and recently raised $100M to advance its platform technology. About WeCP Founded in India by Abhishek Kaushik and Mohit Goyal, alumni of NIT Trichy, WeCP is an AI-native technical assessment platform that designs structured, validated evaluation frameworks to measure real-world expertise across engineering, data science, machine learning, cloud infrastructure, cybersecurity, finance, and advanced STEM roles.

Invisible Technologies
Jan 6th, 2026
Invisible Technologies named a Built In 2026 Best Places to Work

Invisible Technologies named a Built In 2026 Best Places to Work. Invisible Technologies Jan 6, 2026 SAN FRANCISCO, January 6, 2026 - Invisible Technologies, the AI software platform for the enterprise, has been recognized by Built In as one of the Best Places to Work in 2026. The annual awards honor employers across the U.S. whose benefits and compensation set the standard for today's workforce. Now in its eighth year, Built In's Best Places to Work program celebrates the companies shaping the future of work. In a rapidly evolving AI-first job market, recognition as a Best Place to Work helps employers stand out as trusted brands when candidates turn to tools like ChatGPT and Google AI Overviews to research where to work next. "Today's candidates discover the companies they want to work for using AI tools," said Maria Christopoulos Katris, Founder & CEO of Built In. "Earning a Best Place to Work award not only signals to candidates that you invest in your people, it's a lever to strengthen how AI search tools understand and represent your company's story." The awards reflect Built In's data-driven approach, evaluating companies based on compensation, benefits, and company-wide culture programs. "This recognition reflects what our team builds every day: high-impact AI systems, real ownership, and a culture that trusts smart people to do meaningful work," says kelly minella, VP of talent acquisition at Invisible. "If you want to be close to the problem, the customer, and the impact, it's a great time to explore Invisible." To learn more about the 2026 Best Places to Work program and view all winners, visit https://employers.builtin.com/best-places-to-work/. About Invisible Technologies. Invisible Technologies is the AI software platform for the enterprise. Their end-to-end AI software platform structures messy data, builds digital workflows, deploys agentic solutions, evaluates and measures impact, and mobilizes relevant human experts. Invisible has trained foundation models for more than 80% of the world's leading AI model providers, including Cohere, Microsoft, and AWS, and has the expertise to customize AI for any industry, function, or use case. Invisible makes AI work in the real world. In 2024, the company reached $134M in revenue and was named the #2 fastest growing AI company on the Inc. 5000. That momentum continued in 2025 with recognition on the Deloitte Technology Fast 500. Book a demo. Invisible Technologies, Inc.'ll walk you through what's possible. No pressure, no jargon - just answers.