Data Jobs in US

You'll be responsible for database architecture and optimization while also contributing to full-stack GenAI application development. Description As a Database Engineer on our team, you will architect and optimize our SQL and vector database infrastructure supporting enterprise-scale design data.

You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation.

We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Preferred Prior experience with data annotation, data quality, or evaluation systems Familiarity with AI/ML workflows, model training, or benchmarking pipelines Experience with distributed systems or developer tooling Application Process Submit your resume Complete a short technical screening Project matching and onboarding Show less

Organization: Alignerr Position: Data Security & DLP Analyst Type: Contract / Task-Based Compensation: $38–$60 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do Analyze data-security and DLP scenarios across cloud, SaaS, and enterprise systems Classify data sensitivity, exposure paths, and policy violations Review prevention, detection, and response strategies Help generate, label, and validate realistic data-security cases used to train and evaluate AI systems What We’re Looking For 2+ years in data security, compliance, or security operations Familiarity with DLP tools, data classification, and privacy or regulatory concepts Practical understanding of how data risk plays out in real environments Why Join Us Competitive pay and flexible remote work. Work directly on frontier AI systems.

Organization: Alignerr Position: Data Scientist (Masters) - AI Data Trainer Type: Hourly Contract Compensation: $40–$80 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do Develop Complex Problems: Design advanced data science challenges across domains like hyperparameter optimization, Bayesian inference, cross-validation strategies, and dimensionality reduction. No AI experience required Preferred Prior experience with data annotation, data quality, or evaluation systems Proficiency in production-level data science workflows (e.g., MLOps, CI/CD for models).

We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Preferred Prior experience with data annotation, data quality, or evaluation systems Familiarity with AI/ML workflows, model training, or benchmarking pipelines Experience with distributed systems or developer tooling Application Process Submit your resume Complete a short technical screening Project matching and onboarding Show less

A leading software solutions provider is seeking a Principal Partner Transformation Architect to drive technology transformation conversations with executives. This role involves prototyping partner-powered solutions, leading workshops, and advising technology leaders on AI-first architectures.

Quality & Process: Design and implement robust quality control pipelines, annotation tools, and feedback loops to ensure data quality at scale. Data Quality Leadership: Establish and standardize processes for measuring, monitoring, and improving data quality across datasets and annotation teams.

Job Title: AI/ML Architect with Databricks Job Location: Los Angeles CA (Hybrid) Job Type: FTE Job Description Required Bachelor’s degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field. Experience in data science or machine learning roles.

Your main goal will be to ensure that all projects are completed on time within budget and meet the client s specifications This is a full-time position and you will be required to work from the clients office The ideal candidate will have at least 8 years of work experience in the field of architecture and a strong understanding of building codes and regulations You should also have excellent communication and project management skills as you will be working closely with clients contractors and other team members If you are a creative problem solver with a passion for architecture we would love to hear from you Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Ability to build API based scalable solutions and debug troubleshoot software or design issues Hands on exposure to integrating atleast one of the popular LLMs Open AI GPT PaLM 2 Dolly Claude 2 Cohere etc using API endpoints Thorough understanding of prompt engineering implementation exposure to LLM agents like LangChain vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data engineering skills to load structured unstructured data from source systems to target data stores Work closely with Gen AI leads and other team members to address requirements from the product backlog Build and maintain data pipelines and infrastructure to support AI Solutions Desirable Hands on exposure to using cloud Azure GCP AWS services for storage serverless logic search transcription and chat Extensive experience with data engineering and ETL tools is a big plus Masters Bachelors degree in Computer Science or Statistics or Mathematics. Show less

Experience Range 10-15 years of experience in software development, with at least 5 years focused on AI and Machine Learning. 1-2 years of experience with Azure AI services like AI search 2-5 years experience in API creation using FastAPI.

Job Summary The Sr Partnerships Data Analyst supports the Global Partnerships team by transforming internal data into actionable insights that strengthen partnership strategy, drive revenue growth, and support renewals. Support partnership teams by delivering real-time insights, reporting, and data-driven recommendations that inform active deals and partner decision-making.