Contract
Coding Specialist
Fluent in French, Freelance AI Trainer Project
Invisible Technologies
5,001-10,000 employees
AI-assisted BPO and task outsourcing
No salary listed
Remote in Canada
Remote
 AI & Machine Learning (2) |
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- A bachelor’s, master’s, or PhD in computer science, software engineering, or a closely related technical field is ideal; real-world coding experience, technical writing in French, or open-source contributions signal fit.
- fluency in French is required to converse with the model on software engineering tasks and technical scenarios.
- Converse with the model on software engineering tasks and technical scenarios in French.
- Verify logical accuracy and coding fluency.
- Assess naturalness and correctness of French language usage.
- Capture reproducible error traces.
- Suggest improvements to prompt engineering and evaluation metrics.
- Document every failure mode to harden model reasoning.
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
5,001-10,000
Company Stage
Growth Equity (Venture Capital)
Total Funding
$107.9M
Headquarters
New York City, New York
Founded
2015
Simplify's Take
What believers are saying
- Hit $134M revenue in 2024, up 123% YoY from RLHF contracts.
- Raised $100M from Vanara at $2B valuation in September 2025.
- Appointed McKinsey's Matthew Fitzpatrick as CEO in 2024.
What critics are saying
- Scale AI undercuts pricing, erodes share via OpenAI contracts within 6-12 months.
- Surge AI captures validation workflows using superior tech in 12-18 months.
- WeCP integration fails from US-India clashes, talent departs in 3-6 months.
What makes Invisible Technologies unique
- Combines AI with global workforce for high-precision AI training workflows.
- Acquired WeCP to integrate 18,000 domain-specific assessment frameworks.
- Serves 80% of top AI firms like Microsoft, AWS, Cohere via Meridial platform.
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Benefits
Remote Work Options
Performance Bonus
Company Equity
Growth & Insights and Company News
6 month growth
↑ 3%1 year growth
↑ 0%2 year growth
↑ 9%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.
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 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.
The CEO of $2 billion AI training startup says that humans will stay involved in data creation for decades. Shubhangi goel new follow authors and never miss a story! * Human feedback remains essential for AI training, says Invisible Technologies' CEO. * Synthetic data can't replace humans because there are too many kinds of tasks for AI to accomplish. * Data labeling startups continue to hire specialized workers as tech giants seek high-quality data. Artificial intelligence won't be training AI anytime soon, says the CEO of a data labeling startup. On an episode of the "20VC" podcast released last week, Matt Fitzpatrick, the CEO of Invisible Technologies, said that one of the biggest misconceptions in the AI training industry is that humans won't be needed in a few years. "When I first started this job, the main push back I always got was that synthetic data will take over and you just will not need human feedback two to three years from now," said Fitzpatrick, who joined the startup last year. "From first principles, that actually doesn't make very much sense." Synthetic data refers to data that is artificially created. It is used for training AI or machine learning models, mostly where real data is scarce or can't be used because of privacy concerns. Human feedback, on the other hand, asks real people to filter, rank, and train AI responses. On the podcast, Fitzpatrick said that there are too many kinds of tasks for AI to accomplish in the world, and it would take a long time to do them accurately with language and cultural context in mind. For example, the legal industry contains vast amounts of nonpublic information. Get its newsletter for the inside scoop on today's big stories. "On the GenAI side, you are going to need humans in the loop for decades to come," he said. "And I think that is something that most people are starting to realize." Fitzpatrick was previously a senior partner at McKinsey, where he led QuantumBlack Labs, the firm's AI research and software development arm. Invisible, which raised $100 million in September at a $2 billion valuation, competes with data labeling companies such as Scale AI and Surge AI. These startups have raised billions in the past year as tech giants race to secure the data needed to train their AI models. They hire millions of human contractors, who help teach the models math, science, coding, and characteristics such as humor and empathy. Fitzpatrick joins the CEOs of other data labeling startups in saying that the industry will continue to require human effort. In September, the CEO of Mercor, Brendan Foody, said that the most important aspect of the business was data quality and "having phenomenal people that you treat incredibly well." In July, the CEO of Handshake, a job platform that pivoted into AI training last year, said that humans will still be needed to train AI, but who makes the cut is changing. Garrett Lord said the data annotation industry is shifting from requiring generalists to highly specialized experts, including in math and science. "Now these models have kind of sucked up the entirety of the entire corpus of the internet and every book and video," Lord said on a podcast. "They've gotten good enough where, like, generalists are no longer needed." Read next. Business insider tells the innovative stories you want to know.
Invisible Technologies secures $100M in growth funding led by TPG spinoff.