
201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
🔥 Funding within the last year
💰 $100M Series unknown on 2025-10
Artificial Intelligence • SaaS • Enterprise
Invisible Technologies is an enterprise AI platform and services company that builds and deploys production-grade AI systems for large organizations. They combine a modular SaaS platform (data platform, process builder, agents, evaluations) with an expert human marketplace to train models, automate complex back-office workflows, power contact centers, provide computer vision and demand-forecasting solutions, and ensure ongoing evaluation and governance. Invisible works across sectors (finance, healthcare, public sector, sports, retail) to integrate AI into real operational systems and scale outcomes.
🕒 April 27
🇺🇸 United States – Remote
💵 $8 - $30 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🤖 Artificial Intelligence
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201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
🔥 Funding within the last year
💰 $100M Series unknown on 2025-10
Artificial Intelligence • SaaS • Enterprise
Invisible Technologies is an enterprise AI platform and services company that builds and deploys production-grade AI systems for large organizations. They combine a modular SaaS platform (data platform, process builder, agents, evaluations) with an expert human marketplace to train models, automate complex back-office workflows, power contact centers, provide computer vision and demand-forecasting solutions, and ensure ongoing evaluation and governance. Invisible works across sectors (finance, healthcare, public sector, sports, retail) to integrate AI into real operational systems and scale outcomes.
• Operate autonomously to audit, edit, and refine complex AI outputs. • Identifying and correcting malformed LaTeX expressions, unclosed environments, and inaccurate mathematical notations within text. • Rewriting AI-generated text to meet strict stylistic, structural, and creative requirements, ensuring engaging prose, varied sentence structure, and pristine grammar. • Fixing broken markdown elements, including unclosed code blocks, inaccurate language tags, headers, and list numbering to ensure flawless structural formatting. • Applying complex, multi-part evaluation rubrics consistently across high volumes of tasks to generate clean, reliable data for model training. • Ensuring all generated text adheres strictly to spelling, grammar, and formatting conventions.
• Familiarity with LaTeX syntax, specifically the ability to accurately spot and correct malformed mathematical expressions and technical notations. • Native or near-native English proficiency with a solid grasp of US spelling, grammar, and formatting conventions. • A strong background in creative writing, editing, fiction, journalism, copywriting, or similar fields. • Hands-on experience with Markdown formatting, including the proper structuring of code blocks, headers, and lists. • A meticulous, detail-oriented approach with the ability to confidently navigate and follow multi-part rubrics across high task volumes.
• Company-sponsored benefits such as health insurance and PTO do not apply
Apply Now🕒 April 27
Hiring AI/ML Data Contributors to improve machine learning models through various tasks. Offering remote and in-person opportunities in Mississippi and across the United States.
🕒 April 27
AI/ML Data Contributor supporting a range of projects to improve machine learning models through data labeling and evaluation. Involves flexible, task-based work with remote and in-person opportunities.
🕒 April 27
AI/ML Data Contributor supporting tasks to improve machine learning models through data labeling and user testing. Flexible role with opportunities for remote and in-person assignments.
🕒 April 27
AI/ML Data Contributor supporting projects to improve machine learning models through data labeling, evaluation, and testing. Participating in flexible task-based work opportunities, both remote and in-person.
🕒 April 27
AI/ML Data Contributor supporting various projects across the United States. Engaging in tasks like data labeling and content evaluation, with remote and in-person options.