Contribute to the design, development and implementation of Voice AI applications, bringing linguistic and speech expertise to the core Voice Platform.
Own language support end to end, analyzing complex speech problems across diverse languages, accents, and dialects.
Partner with engineers and product managers to identify and solve linguistic problems that power the user experience.
Build and scale enterprise-grade conversational AI applications using Java, JavaScript, Python, and AIML.
Design high-quality, reusable code and mentor colleagues while owning features from design to delivery.
Collaborate with product owners to implement new products and enhance the existing platform with innovative AI solutions.
ServiceNow is an AI platform that automates workflows and enables business reinvention for enterprises, serving 85% of the Fortune 500. The company fosters an AI-native culture where technology and talent work together, with a focus on innovation and employee growth.
Research and develop new methods that push the frontier of Speech AI.
Improve data quality, build evaluation harnesses, and analyze production model accuracy.
Partner with researchers and engineers to turn research prototypes into production-ready systems.
AssemblyAI builds best-in-class Voice AI models powering next-generation voice applications. With under 100 employees, the company is lean, capital-efficient, and meritocratic, giving every team member outsized ownership and impact.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.
Design, develop, and deploy AI/ML models and applications including NLP, predictive models, and automation workflows.
Build LLM-powered features using APIs like OpenAI, Azure OpenAI, or Anthropic, with RAG and agent workflows.
Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms and ensure responsible AI practices.
ExtensisHR provides human resources outsourcing and PEO services, supporting businesses with payroll, benefits, and compliance. The company is embracing AI transformation to improve operational efficiency and client experience.
Design, build, and operate LLM-powered applications and services over catalog, sales, and operational data.
Stand up and maintain MCP servers and tool integrations that connect AI models to internal systems.
Own services end-to-end, evaluate emerging AI tooling, and raise the team's AI engineering capability.
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. We are committed to quality, excellence, and innovation throughout the entire publishing process, with a vibrant and diverse international community of nearly 300 publishing brands and imprints.
Design and improve AI systems for extracting structured reasoning signals from technical interviews.
Build LLM-powered pipelines for semantic analysis, behavioral feature extraction, and evaluation.
Develop scoring, calibration, and benchmarking methods grounded in measurable evidence.
APADCode is an early-stage AI startup building an AI-powered technical interview platform that evaluates how candidates reason and solve problems. The company is a small, early-stage team with a culture of high ownership, direct collaboration, and minimal bureaucracy.
Record high-quality French speech samples for AI training datasets.
Evaluate AI-generated French audio for pronunciation, tone, and naturalness.
Provide detailed feedback and collaborate with technical teams to refine voice models.
The hiring partner is an innovative technology company focused on training cutting-edge conversational and expressive AI voice systems. They operate with a remote-first, autonomous freelance culture, collaborating with global talent to shape next-generation speech technology.
Building multi-agent systems and implementing agent-based workflows and AI automation solutions.
Developing and optimizing prompt engineering strategies, including evaluation and iteration.
Integrating LLMs and AI models into cloud-based applications and APIs while researching new AI tools.
Software Mind develops impactful software solutions for global companies, partnering with tech giants and unicorns on transformative projects. The company builds cross-functional engineering teams and embraces a culture of openness, respect, grit, and cooperation.
Implement embeddings, vector storage, and retrieval across a large, provenance-tracked evidence base.
Integrate language models so generated text is bound to cited source records, and test for citation failures.
Own prompt and output-schema design, model packaging, versioning, serving, and rollback.
DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering to build resilient optimization systems for complex operations. The company offers a fully remote, results-based environment with a focus on production systems and a strong benefits package.
Assess current-state service desk and contact center environments and design future-state support models leveraging AI, automation, and intelligent assistance.
Develop modernization strategies, business cases, and ROI models that demonstrate measurable cost savings and operational improvements.
Lead discovery sessions, prototype AI solutions, and support business development through proposals and executive presentations.
Our partner applies AI, machine learning, automation, and analytics to modernize customer and employee support environments for government and commercial clients. They offer a collaborative, innovation-focused environment with opportunities to work alongside experienced technical and mission-focused professionals.
Lead exploration and application of Large Language Models and Generative AI into core product lines.
Translate the latest research into high-performing systems that enhance customer experiences.
Collaborate with cross-functional teams to set strategy and deploy ML solutions with real business impact.
Replicant is the industry leader in voice AI for customer service, providing automated phone bots for enterprises like AAA and Fanatics. Founded in 2017, the company is backed by top-tier Silicon Valley investors, has offices in the SF Bay Area, Toronto, and New York, and maintains a distributed team across the US and Canada.
Own the intelligence layer of Project Interstellar, building production LLM systems for document intelligence, voice agents, and task orchestration.
Design and maintain prompt engineering infrastructure, model abstraction, RAG layers, and agent orchestration frameworks.
Partner with engineering and domain experts to integrate AI capabilities into a HIPAA-regulated platform from the ground up.
Certum Legal Solutions is a legal managed services organization that provides operational infrastructure, technology, and back-office solutions for personal injury law firms. The company is building a proprietary AI-native system and is assembling a high-caliber team in a greenfield, fast-paced environment.
You will own technical delivery across federal deployments, from first prototype to stable production.
You will embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models.
You will deploy and operate models in self-hosted, air-gapped, and edge environments, guiding stakeholders on operational value.
Deepgram is a leading Voice AI platform providing real-time APIs for speech-to-text, text-to-speech, and voice agents. With 200,000+ developers and 1,300+ organizations, Deepgram operates with an AI-first mindset and a fast-paced, innovative culture.
Facilitate live, supervised voice recording sessions for a multilingual conversational AI project.
Provide real-time participant coaching and monitor technical quality throughout each session.
Complete approximately 8 hours of calibration prior to production and independently support recording sessions.
Welo Data is a global AI data company that provides high-quality, ethical data to train advanced AI systems. With over 500,000 contributors in 100+ countries, the company offers flexible, remote opportunities and a supportive global community.
Build new functionality within a fast-moving product, taking ambiguous ideas from design to rigorous experimentation within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build production-grade ML systems at Twilio scale, leveraging the latest AI development stacks to focus on core differentiation.
Twilio is a cloud communications platform that enables businesses to create personalized customer experiences through APIs and AI-driven solutions. The company is remote-first, serving hundreds of thousands of businesses, and fosters a culture of connection, inclusion, and innovation.
Conduct research on enterprise agentic AI, including agent memory, continuous learning, safety, and privacy.
Leverage unique access to real enterprise deployments to test hypotheses and advance the state of the art.
Publish at top-tier venues and collaborate with cross-disciplinary teams to influence product decisions.
ServiceNow is the AI control tower for business reinvention, bringing together AI, data, and workflows to help 85% of the Fortune 500 work smarter. The company is a global leader with over 8,100 customers, building an AI-native culture where technology and talent are unstoppable together.
Own market success for the AI Assistant portfolio, shaping narrative and ensuring deployment readiness.
Drive adoption via early access programs, customer feedback, and cross-functional field enablement.
Translate customer and market insights into prioritized requirements for inbound product teams.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter with our AI platform. We're building an AI-native culture where technology and talent are unstoppable together.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
Own AI workflows end to end, from problem definition to production and improvement, for finance processes like invoice-to-payment and reconciliation.
Design and build production-grade LLM-based systems with structured outputs, RAG, validation, and monitoring.
Collaborate with product, backend engineering, and customers while setting technical direction and using AI coding tools daily.
Jeeves is a stablecoin-native banking platform providing corporate cards, payments, treasury, and spend management for global enterprises. With over $5B in annualized volume and backing from top investors, the company is scaling rapidly and values relentlessness and tackling hard problems.
Build and ship AI methods for federal research data with LLMs, NLP, RAG, knowledge graphs.
Benchmark AI against baselines and human reviewers to prove gains in accuracy, reliability, efficiency, cost.
Set standards for trustworthy AI and mentor data scientists through code review and guidance.
ARI builds AI methods for federal research-funding and administrative data, with clients including the NIH. It is a small multidisciplinary team of scientists, analysts, economists, and data scientists experienced with NIH data.