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1d ago

Data Scientist - AI Trainer

DataAnnotation Elgin, IL 🇺🇸 Remote

Elgin, IL

1d ago

$50 - $100/hr Contract Ai Training Artificial Intelligence Data Science

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Job Description

DataAnnotation offers a remote, contract role for a Data Scientist - AI Trainer. This position provides paid, project-based work with flexible scheduling, enabling you to design and solve coding problems, write high-quality code and explanations, and assess AI-generated code to help train AI models from your own setup.

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and determine your hours, using your own computer from home.
Competitive pay: hourly rates range from $50 to $100, with opportunities for higher bonuses on select projects.
Impact: contribute to shaping the future of AI technologies.

Responsibilities

Design and solve diverse coding problems used to train AI systems.
Develop clear, high-quality code snippets accompanied by thorough explanations.
Evaluate AI-generated code for accuracy, performance, and readability.
Provide actionable feedback that informs the next iterations of AI models.

Requirements

Fluent English, native or equivalent proficiency.
Proficiency in at least one of these languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Strong writing and grammar skills.
Bachelor's degree (completed or currently in progress).
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

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1d ago

AI-Data Scientist - Expert

Experis Southlake, TX

Southlake, TX

1d ago

$80 - $85/hr Full time Alteryx Analytics Bigquery

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Job Description

Experis is seeking an AI-Data Scientist - Expert to drive cross-functional data and analytics initiatives onsite in Southlake, TX.

Responsibilities

Convert raw internal data into trusted datasets, deliverable insights, and executive-level dashboards.
Own the end-to-end analytics stack, including data ingestion, modeling, pipeline engineering, and dashboard delivery.
Collaborate with business stakeholders to clarify questions, translate them into scalable data products, and communicate findings effectively.
Lead data migration efforts from Alteryx to Google Cloud Platform (GCP) and BigQuery, ensuring data quality and reliability.
Design and implement dashboards using Tableau and Power BI to support operational and strategic decision-making.

Requirements

7+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence roles.
Hands-on experience with Alteryx Designer and Alteryx Server workflows.
Proficiency with Google Cloud Platform and BigQuery, including performance optimization and data modeling.
Extensive experience developing reporting solutions in Tableau and/or Power BI.
Strong SQL skills, including complex joins, window functions, and BigQuery optimization techniques.

Technologies

Alteryx Designer
Alteryx Server
Google Cloud Platform (GCP)
BigQuery
Tableau
Power BI
SQL

Benefits

Opportunity to work on innovative cloud migration projects and modernize analytics infrastructure.
Collaborate with a dynamic and diverse team of professionals.
Engage in meaningful work that informs organizational decision-making.
Potential for contract extension and/or conversion to full-time employment.
Competitive pay rate aligned with your expertise and experience.

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1d ago

Data Scientist - AI Trainer

DataAnnotation Farmers Branch, TX 🇺🇸 Remote

Farmers Branch, TX

1d ago

$50 - $100/hr Full time Ai Ml Ai Trainer Analytics

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Job Description

DataAnnotation is seeking a Data Scientist - AI Trainer to assess AI-generated quantitative work and craft training tasks that benchmark AI reasoning. This remote role offers flexible scheduling and a platform to influence how AI models approach data and analytics across forecasting, experimental analysis, optimization, and statistical inference.

Responsibilities

Evaluate AI-produced quantitative work for technical accuracy and real-world validity, covering statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
Design and solve quantitative problems used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and maintain well-documented analytical code.
Provide feedback that directly informs the next generation of AI models built for quantitative reasoning.

Requirements

2+ years in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (for example, A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English with strong writing skills (native or bilingual level).
A bachelor's degree in a quantitative field is preferred; a master's or PhD is a plus.
Relevant credentials are beneficial (e.g., Kaggle competition ranking, AWS or GCP ML certifications, or equivalent demonstrated expertise).

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and timing that fit your workflow.
Competitive pay: hourly projects, with the possibility of higher-rate opportunities based on performance.
Impact: contribute to shaping AI systems designed for quantitative reasoning in data analytics.

Compensation

Hourly rate: USD 50 - 100 per hour.

Note

Payment is made via PayPal. This role is open to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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1d ago

Natural Language Processing Data Scientist

VA Boston Healthcare System Boston, MA

Boston, MA

1d ago

$121k - $157k/yr Full time Python Artificial Intelligence Clinical Data

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Job Description

This onsite role in Boston, MA offers a competitive salary and a comprehensive benefits package within the VA Boston Healthcare System. The annual compensation ranges from USD 120,548 to 156,718, with benefits designed to support work-life balance, health and financial security.

Benefits

Dental insurance
Employee assistance program
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Retirement plan
Vision insurance

The Natural Language Processing Data Scientist role focuses on information extraction from unstructured clinical text, NLP data curation, and building NLP pipelines to support research and healthcare decisions.

Responsibilities

Lead the design and deployment of advanced information extraction and analysis within a healthcare setting, applying Python based NLP methods.
Oversee creation and governance of validated NLP datasets using Label Studio, ensuring high data quality across the project lifecycle.
Develop, maintain, and optimize end to end data and algorithm pipelines, following data science lifecycle best practices.
Improve NLP and data science infrastructure by creating reusable code and resources for researchers, engineers, and clinicians.
Collaborate with clinicians and data teams to guide research initiatives, offering expert NLP insights to meet complex clinical needs.
Prioritize and manage multiple projects concurrently, monitoring progress and delivering milestones on schedule.
Communicate findings through written reports, presentations, and manuscripts tailored to technical and non technical audiences.
Stay current with developments in NLP, ML, and data science and apply best practices to raise the impact of research and analytics activities.

Requirements

U.S. citizenship is required and the candidate must clear a U.S. government background check.
Degree in Mathematics, Statistics, Computer Science, Data Science or a directly related field; the major should be suitable for the position at the bachelor level or higher.
Alternatively, a combination of education and experience can satisfy the requirement: courses totaling 30 semester hours in the major field plus additional relevant education or experience.

Technologies

Python
Label Studio
SQL
Git/Github
GPT-OSS
Llama
Mixtral

Note

Reference OPM classification standards: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/

How to apply

Applicants should submit a cover letter, resume or CV that clearly identifies employment dates, whether positions were full time or part time, and hours per week for all roles, along with transcripts. Include “NLP Data Scientist” in the subject line and email materials to Karlynn.Dulberger@va.gov. Please confirm U.S. citizenship in your cover letter.

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1d ago

AI Engineer, Evaluation

Distyl AI New York, NY

New York, NY

1d ago

$150k - $250k/yr Full time Artificial Intelligence Data Analysis Evaluation Frameworks

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Job Description

Distyl AI is seeking an AI Engineer, Evaluation in New York, NY (hybrid) with a base salary of USD 150,000–250,000 per year.

Responsibilities

Craft and deploy evaluation frameworks that support Evaluation-Driven Development for AI systems operating in customer environments
Specify domain specific quality metrics so evaluation signals reflect real user needs, constraints, and business goals
Create and maintain golden test cases and regression suites in Python, using both human-authored and AI-assisted test generation to capture key behaviors and edge cases
Treat these test suites as core system components that evolve alongside the AI system
Build and sustain offline and online evaluation pipelines that integrate into system iteration loops
Use evaluation results to inform prompt design, agent logic, model selection, and release readiness to drive measurable improvements
Define, calibrate, and operate LLM-based graders, aligning automated judgments with expert human assessments
Investigate divergences between evaluation signals and real-world outcomes and refine grading approaches as systems and domains evolve
Collaborate with Forward Deployed AI Engineers, Architects, Product Engineers, AI Strategists, and domain experts to ensure evaluation frameworks guide production development and deployment

Requirements

2+ years of software engineering experience
Strong Python engineering skills: write clean, maintainable Python and build production-grade evaluation and experimentation pipelines
Experience with Evaluation-Driven or Experiment-Driven Development: familiarity with structured evaluation or experimentation frameworks to drive iteration and awareness of overfitting risks
Ability to translate human judgment into code: collaborate with subject matter experts to encode high-quality judgments into test cases, scoring functions, and scalable graders
Systems-oriented mindset: understand how evaluation interacts with prompts, agents, data, and deployment; enable fast iteration while preserving trust and safety in production
AI-native working style: leverage AI tools to generate tests, analyze failures, explore edge cases, and accelerate debugging
Travel: 10–50% of the time, depending on project and role

Technologies

Python

Benefits

Base salary range of USD 150K–250K plus meaningful equity and comprehensive benefits
100% coverage of medical, dental, and vision insurance for employees and their dependents
Flexible time off policy
Retirement and financial planning benefits, including pre-tax HSA, FSA, commuter accounts, 401(k), and financial coaching
Wellness benefits covering physical and mental health, plus fertility and family-building support via Carrot
Complimentary in-office lunches and snacks
Access to state-of-the-art AI models and tools to tackle real-world business problems
Opportunity to own high-impact projects across major enterprises
Fast-paced, mission-driven culture that values curiosity, pragmatism, and excellence

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1d ago

Applied AI Engineer II

Deloitte Jersey City, NJ

Jersey City, NJ

1d ago

$103k - $189k/yr Full time AI Applied Engineer

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Job Description

Deloitte is seeking an Applied AI Engineer II to design and deliver high-visibility full-stack products with GenAI and agentic capabilities, collaborating across teams to produce AI infused solutions that drive measurable value. This onsite role is based in Jersey City, NJ, with a salary range of USD 102,500 to 188,900 per year and requires a bachelor’s degree plus at least two years of practical experience.

Responsibilities

Outcome driven accountability: Own and drive outcomes for customers and the business, including the cost of achieving them. Craft engineering solutions that address complex problems with meaningful value, delivering lean, high-quality designs and implementations while managing inference, token usage, and cloud costs.
Technical leadership and advocacy: Act as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Engage in requirement analysis, component design, development, testing, integrations, and support.
Engineering craftsmanship: Maintain design integrity and alignment with the architecture and tech stack, ensuring quality, proper data handling, and ongoing maintenance. Be hands-on and self-driven, continually learning new approaches, languages, and frameworks. Produce technical specifications and high-quality, scalable code that meets quality KPIs, while collaborating with diverse teams.
Customer centric engineering: Develop lean solutions through rapid, inexpensive experimentation to meet customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
Incremental and iterative delivery: Favor action and evidence over extensive planning, navigating complexity with a forward-leaning approach to deliver lean, maintainable solutions.
Cross-functional collaboration and integration: Work with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to balance feasibility, viability, usability, and value, fostering a collaborative environment that enhances innovation.
Advanced technical proficiency: Apply modern software engineering practices, including AI and Agentic SSDLC, to enable daily product deployments with full automation from discovery to production to operations, with quality checks through the SSDLC lifecycle. Model these techniques to optimize solutioning and delivery, maintaining a holistic view of the product lifecycle for continuous improvement.
Domain expertise: Rapidly acquire domain knowledge relevant to the business or product. Translate business needs, architectures, and UX/UI designs into technical specifications and code. Be a flexible, reliable team member focused on quality and technical debt payoff.
Effective communication and influence: Demonstrate strong communication skills to articulate complex technical concepts clearly. Influence teammates and product teams with well-structured arguments and evidence-based trade-offs, creating narratives that align technical solutions with business goals.
Engagement and collaborative co-creation: Engage with product engineering teams at all levels, and with customers as needed. Build constructive relationships and foster a culture of co-creation and shared momentum toward product goals, aligning diverse perspectives to create feasible solutions.

Qualifications

Bachelor's degree
Minimum 2 years of experience in relevant roles
Location: Jersey City, NJ onsite

Technologies

Angular
React
NodeJS
Python
C#
.NET
Java
SQL
NoSQL
PyTorch
TensorFlow
LangChain
LangGraph
OpenAI
Anthropic
LangFuse
LangSmith
Azure
AWS
GCP
Azure OpenAI
AWS Bedrock

Azure DevOps (ADO)
GitHub
SonarQube
MLflow

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1d ago

Principal AI Engineer

Verizon Basking Ridge, NJ

Basking Ridge, NJ

1d ago

$121k - $231k/yr Full time Ai Ml Artificial Intelligence Cloud

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Job Description

Verizon is seeking a Principal AI Engineer to lead the end-to-end development and deployment of high-priority propensity models that enable microsegmentation and personalized customer experiences. This hybrid role, based in Basking Ridge, NJ, combines hands-on modeling with mentorship of engineers and collaboration with marketing stakeholders to translate complex analytics into measurable business outcomes. The position offers a salary range of USD 120,500 to 231,000 per year.

Responsibilities

Build, train, and deploy our most intricate propensity models to forecast customer behavior, churn risk, and key lifecycle triggers.
Independently manage end-to-end model development pipelines, from advanced feature engineering to production deployment and monitoring.
Collaborate with high-visibility base management pods and senior marketing stakeholders to convert retention goals into actionable data science solutions.
Own the lifecycle of models deployed in high-impact areas, ensuring continuous optimization, accuracy, and measurable business performance.
Translate advanced analytical outputs into microsegmentation strategies that empower marketing partners to deliver highly personalized customer experiences.
Serve as a technical mentor and advisor to senior and mid-level AI/ML engineers, sharing best practices for model optimization and data pipelines.
Present complex model insights, performance metrics, and strategic recommendations clearly to senior leadership and cross-functional partners.

Requirements

Bachelor’s degree or four or more years of work experience.
Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Four or more years of experience independently developing, deploying, and optimizing complex machine learning or propensity models in a production environment.
Experience working on high-priority or high-visibility technical initiatives within a corporate setting.
Knowledge of LLM agent architecture: Google ADK, LangChain/LangGraph, multi-agent orchestration, retrieval-augmented generation (RAG), MCP, A2A protocols.
Experience with retrieval-augmented generation (RAG), ONNX-based embeddings, vector databases and semantic search.
Knowledge of cloud-scale data engineering: BigQuery pipelines, GCP (Cloud Run, Vertex AI).
Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction.

Technologies

Google ADK
LangChain
LangGraph
Retrieval-augmented generation (RAG)
MCP
A2A protocols
ONNX-based embeddings
Vector databases
Semantic search
BigQuery pipelines
GCP
Cloud Run
Vertex AI
Python
R
SQL
OpenTelemetry
Arize Phoenix
Galileo

Benefits

Health and wellness coverage including medical, dental, and vision; short- and long-term disability; basic and supplemental life insurance; AD&D; identity theft protection; pet insurance; and group home and auto insurance
401(k) savings plan with company match
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay options such as overtime, shift differential, holiday pay, and allowances
Newly hired employees accrue up to 15 vacation days per year, growing with service
Total rewards package

Where you’ll be working

This is a hybrid role with a defined work location that includes work from home and assigned office days as set by the manager. A minimum of three days per week in the office is expected, with adherence to hybrid work policies.

Schedule

40 hours per week

Equal Employment Opportunity

Verizon is an equal opportunity employer. Qualified applicants are evaluated without regard to veteran status, disability or other legally protected characteristics.