Top Remote Entry Level Data Science Jobs in Boston, MA

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

Remote Indonesian-language annotator role: review and label text and images, draw bounding boxes, answer structured questions, write short summaries, and follow annotation guidelines to train AI. Long-term (minimum 6 months), 30-40 hours/week, paid hourly; on-the-job training provided and a short language assessment is required.

Remote Danish language annotator to review and label text and images, draw bounding boxes, answer structured questions, and write short summaries following annotation guidelines. No prior experience required; on-the-job training provided. 30–40 hours/week, $8/hour, minimum 6-month commitment.

Review and annotate Chinese text and images to train AI: draw bounding boxes, answer structured questions, write short summaries, and follow annotation guidelines. Remote, long-term contract (minimum 6 months), 30–40 hours/week, paid hourly with a short language assessment required.

Paid, one-time remote voice recording study contributing English speech data for AI research. Participants complete a guided session from a compatible device, follow instructions, and receive $25 on successful completion.

Assist senior data scientists with data collection, preprocessing, cleaning, and basic statistical analysis. Support model development, perform basic visualizations, and document processes and findings while learning and applying data science techniques.

Provide high-quality Arabic (UAE) language data for AI projects through audio transcription, annotation, labeling, language validation, and quality review. Follow detailed project guidelines, use basic computer tools and reliable internet, and deliver accurate, consistent outputs on a flexible remote schedule.

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.

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.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

Unstructured is seeking professionals for future roles focused on AI/ML projects. Join their talent pool to be considered for impactful positions in unstructured data processing.