Top Artificial Intelligence Data Science Jobs in Houston, TX

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

Remote freelance annotators evaluate Spanish-language responses for factual accuracy, apply fact-checking guidelines, identify misinformation or unsupported claims, and provide structured annotations. Requires attention to detail, adherence to evolving guidelines, and consistent high-quality performance. Training and guidelines provided in English; qualification test required.

Lead and build a data science team to develop production AI across operations and post-sales product experiences. Own roadmap, deploy agentic systems and forecasting, partner with stakeholders, ensure production reliability, evaluation, and business impact, and communicate results to executives.

Remote entry-level data science engineer role building end-to-end data science applications: data preparation, exploration, feature engineering, modeling, automation, and distributed model implementations using Python, SQL and scalable paradigms (MapReduce/PySpark). Must show real-world full-cycle project experience and readiness to learn PySpark quickly.

Freelance PhD-level Brazilian politics experts will create challenging, original Brazilian Portuguese questions and ideal answers for AI training, then decompose answers into individually cited facts with sources and relevance. Work is remote, ~60 flexible hours over ~2 months; AI tools may only be used for research support and prompt calibration.

Contract data scientist to remotely gather, extract, and analyze technical information about AI models, benchmarks, data centers, and companies. Tasks include reading ML papers, tracking leaderboards, processing satellite images/permits, compiling infrastructure details, and producing data insights for research and policy. Part-time (10–30 hrs/week), flexible schedule with occasional Pacific Time meetings.

Review, label, and QA datasets for AI/ML training; maintain trackers, databases, and dashboards; follow annotation guidelines and SOPs; prepare and clean data; document processes; collaborate to resolve data queries while ensuring confidentiality and timely delivery.

Annotate and label audio clips to improve AI models using Label Studio. Follow detailed guidelines and training materials, join training and feedback sessions, meet productivity targets with the Project Manager, and flag unclear samples or guideline issues.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

The Senior Data Engineer will own the data strategy, managing sourcing, structuring, and optimizing multimodal data to enhance AI models and products.