GPTZero

Company Name: GPTZero
Job Title: GPTZero Content Educator
Job Description: **Job Title:** GPTZero Content Educator **Role Summary:** Develop and produce short‑form video content (30–90 s) from teacher/parent perspectives to promote GPTZero’s AI‑detection features and educational insights. Post videos to the company’s branded social media channels. Flexibility to shape creative formats while aligning with weekly briefs. **Expactations:** - Work 10–20 hrs weekly, delivering 8–16 videos per week. - Produce consistent, engaging content that meets brand voice and appeal criteria. - Collaborate remotely, responding to briefed topics (product updates, AI news, academic calendar events) and generating original ideas. **Key Responsibilities:** - Script, film, and edit short videos from a first‑person point of view. - Showcase real or reenacted student writing/learning examples. - Post completed videos independently to GPTZero’s social channels. - Monitor audience engagement and iterate content for higher reach. - Participate in weekly briefings and creative ideation sessions. **Required Skills:** - Proven teaching or tutoring experience (college level or higher). - Comfortable on camera, confident public speaking, clear communication. - Basic video production and editing knowledge (e.g., mobile editing apps). - Social media content creation & publishing familiarity. - Strong time‑management and self‑discipline for remote work. **Required Education & Certifications:** - Bachelor’s degree in Education, Communications, or related field. - Teaching credential preferred (but not mandatory).

London, United kingdom

Remote

29-12-2025

Company Name: GPTZero
Job Title: Machine Learning Engineer (AI detection, Toronto)
Job Description: **Job Title:** Machine Learning Engineer **Role Summary:** Build and deploy advanced AI systems to verify authenticity, quality, and factuality of information using machine learning and language models. Shape industry-defining software for global impact. **Expectations:** - 4+ years PyTorch/Transformers experience - Proven track record in leading impactful ML projects (research or deployment) - Cutting-edge expertise in deep learning and large language models - Strong software engineering skills for scalable, modular systems - Independent drive as a project owner in fast-paced environments **Key Responsibilities:** - Design, train, and optimize state-of-the-art language models - Develop retrieval-augmented AI agents for detection systems - Architect efficient ML training/inference pipelines for high-scale platforms - Collaborate with cross-functional teams (product/design) to translate research into user-centric solutions - Monitor and integrate emerging ML research to address novel challenges **Required Skills:** - Advanced Python, PyTorch/Transformers, ML model deployment - ML system design (pipelines, scalability, inference optimization) - Strong grasp of statistical modeling, dataset curation, and iterative experimentation - Cross-team collaboration to align technical execution with product goals - Documentation and communication of complex technical concepts **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Statistics, or related field (or equivalent experience) - No certifications specified; visa for Canada/US work authorization required *Bonus: Open-source contributions, ML publications, early-stage startup experience, and understanding of model failure modes in real-world environments.*

Toronto, Canada

Hybrid

05-01-2026

Company Name: GPTZero
Job Title: Machine Learning Engineer
Job Description: **Job Title:** Machine Learning Engineer **Role Summary:** Design, develop, and iterate AI agents and large‑language‑model (LLM) solutions to deliver accurate classification, personalization, and compliant content detection. Collaborate with product, design, and data teams to build production‑ready, modular pipelines and prompt‑engineering workflows that scale for millions of users. **Expectations:** - Produce reliable, high‑accuracy AI tools that advance critical thinking. - Own end‑to‑end product features, from research through deployment, while driving continuous improvement. - Build scalable, observable pipelines and lead experimentation for AI agents. - Champion ethical AI practices and societal impact throughout the development lifecycle. **Key Responsibilities:** - Fine‑tune, evaluate, and benchmark state‑of‑the‑art language models (LLMs) for classification and generation tasks. - Optimize prompts and develop prompt‑engineering strategies (e.g., prompt scaling, style enforcement, personalization). - Implement multi‑agent workflows integrating Retrieval‑Augmented Generation (RAG) to pull data from diverse sources. - Build and maintain highly extensible, modular codebases and complex data pipelines in Python. - Deploy observability and experimentation tools to monitor AI agent performance and drive iterative improvements. - Stay current on cutting‑edge research, emerging LLM techniques, and RAG advancements. - Collaborate with product and design teams to create intuitive, data‑driven applications that deliver societal impact. - Mentor junior engineers and assume leadership responsibilities as the team expands. **Required Skills:** - 3+ years Python programming experience. - 1+ year hands‑on experience with LLM frameworks (e.g., LangChain, LlamaIndex). - 1+ year experience building agentic or RAG applications. - Strong exploratory data analysis (EDA) skills to inform solution design. - Ability to build modular, well‑documented codebases and complex data pipelines. - Self‑starter mindset: pitch ideas, plan projects, and execute independently in a fast‑paced environment. - Excellent written and verbal communication. - Visa eligibility to work in Canada or the US. **Bonus Skills (not required):** - Open‑source contributions to ML/LLM libraries. - Publications in top‑tier ML conferences. - Experience in early‑stage startup environments. - Familiarity with prompt‑optimization frameworks (e.g., DsPY, TextGrad). **Required Education & Certifications:** - Bachelor’s degree (or equivalent experience) in Computer Science, Machine Learning, Data Science, or related field. - Relevant professional certifications (e.g., AWS ML, Google Cloud ML) preferred but not mandatory.

New york city, United states

Hybrid

18-03-2026

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