Top Tech Jobs & Startup Jobs

Supports AI/ML workflows for large-scale image and video datasets by managing annotation processes, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. The role focuses on data quality, foundational computer vision, experiment execution, and production-readiness, with growth opportunities into applied modeling or MLOps.

Build and maintain full-stack features for a production healthcare platform using React, Next.js, TypeScript, Node.js, PostgreSQL, and RPC-based services. Contribute to AI and LLM-adjacent codebases, handle sensitive regulated data, and collaborate with product, QA, and design teams in an Agile environment. The role requires strong software engineering fundamentals, ownership, communication, attention to quality, and remote collaboration skills.

Owns BI product strategy for Quote-to-Cash and Order-to-Cash processes. Partners with finance, sales, legal, accounting, product, and engineering teams to identify operational friction and translate it into BI, AI, and machine-learning opportunities. Creates PRDs, roadmaps, and functional requirements; validates pricing, order, contract, billing, and revenue data; and ensures complex financial processes are accurately represented in downstream data products.

Support AI/ML workflows for large-scale image and video datasets by managing annotation processes, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. The role emphasizes data quality, foundational Python and computer vision skills, cloud familiarity, and growth toward applied modeling or MLOps.

Supports AI/ML workflows involving large-scale image and video datasets. Responsibilities include curating datasets, managing annotation workflows, running model training and evaluation jobs, documenting results, maintaining benchmarks, tracking model performance, and analyzing failure cases with senior engineers. The role requires foundational Python, machine learning, computer vision, and cloud knowledge, with opportunities to grow into applied modeling or MLOps.

Author and quality-assure AI-driven automations for defined healthcare workflows, execute accurate high-volume automation tasks, provide technical support, and maintain structured application and process documentation. Collaborate remotely with product, engineering, and QA teams using GitHub, Slack, and JIRA. Contribute to improvements in core applications and internal tooling. This is a three-month remote contract with potential extension.

Own applied computer vision and machine learning model development from problem definition through production deployment. Build and fine-tune solutions for object detection, segmentation, classification, video analysis, forecasting, anomaly detection, regression, and clustering. Evaluate model performance and account for real-world constraints involving lighting, sensors, data quality, and edge-device computing limitations.

Curate large-scale image and video datasets, manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, document results, and analyze model failure cases with senior engineers. The role supports AI/ML production deployments and offers growth toward applied modeling or MLOps.

Build low-latency .NET APIs and backend services alongside Angular user interfaces for a financial services platform. Design microservices, REST APIs, message-driven systems, and API contracts; maintain CI/CD pipelines and observability; use AI coding tools; deliver automated testing exceeding 80% coverage; conduct code reviews; and support production services throughout their lifecycle.

Author and quality-assure AI-driven automations for defined healthcare workflows, perform accurate high-volume automation tasks, provide technical support, and maintain structured application and process documentation. Collaborate remotely with product, engineering, and QA teams using GitHub, Slack, and JIRA while contributing to improvements in core applications and internal tooling.