Remote (US)

Remote Data Jobs (US)

202 jobs found

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All (261) 🌍 Worldwide (52) 🇺🇸 US (202) 📍 Location-specific (7)

Today

AWS AI Engineer

Hudson Manpower Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

Today

Full time AI Artificial Intelligence Automation

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Job Description

Sunnyvale, CA based with remote option, Hudson Manpower seeks an experienced AWS AI Engineer to design, deploy, and operate AI and ML applications in the cloud, prioritizing retrieval-augmented generation, fine-tuning large language models, and AWS native microservices for enterprise production.

Responsibilities

Act in a hands-on capacity with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Lead the implementation of AWS cloud services across infrastructure, machine learning, and AI platform components.
Develop and scale LLM based applications, incorporating Retrieval-Augmented Generation (RAG) with LangChain and related frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Partner with internal stakeholders to translate business objectives into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub based SDLC, and infrastructure as code with Terraform.
Contribute to the evolution of reusable platform components for AI and ML operations.
Document technical work thoroughly for the team and internal customers.
Demonstrate strong verbal and written communication in English.

Requirements

7 years of hands-on software engineering experience with a strong focus on Python.
Proficient with AWS services, particularly Bedrock or SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Background working with AWS Organizations and policy guardrails (SCP, AWS Config).
Solid track record implementing RAG architectures and LangChain.
Experience with Infrastructure as Code best practices and building Terraform modules for AWS.
Strong background in Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with integrated release pipelines.

Technologies

AWS Bedrock
AWS SageMaker
AWS Lambda
AWS Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
Git
Python
Golang
Node.js
Hugging Face
AWS Organizations
AWS Config
SCP

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
Eligible to earn referral bonuses

Supervisory Responsibilities

None

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Today

Senior Data Engineer

Brooksource New York, NY 🇺🇸 Remote

New York, NY

Today

$65 - $85/hr Full time Senior Analytics API

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Job Description

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and architectures that support advanced analytics and business intelligence, leveraging big data ecosystems, cloud platforms, and robust data modeling.

Responsibilities

Design, build, and optimize large-scale ETL pipelines using Informatica, Talend, Apache Spark, and Apache Hive.
Create and sustain data architectures on cloud environments including AWS, Azure Data Lake, and other public clouds.
Partner with cross-functional teams to capture requirements and translate them into scalable data solutions.
Develop and implement data models employing dimensional modeling techniques for data warehousing and analytics.
Oversee data integration from linked data, RESTful APIs, and additional external sources.
Ensure data quality, security, and compliance throughout the data lifecycle.
Support machine learning model deployment through efficient data pipeline integration.
Apply SQL, Python, Java, Bash, and shell scripting to automate processes and improve efficiency.
Contribute to Agile practices by participating in sprint planning, reviews, and continuous improvement efforts.
Document data workflows and architecture diagrams to promote transparency and knowledge sharing.

Requirements

Proven experience as a Data Engineer or similar role focusing on big data systems and cloud-based architectures.
Extensive knowledge of AWS services (S3, Redshift, Glue), Azure Data Lake, Hadoop components, and other public cloud offerings.
Strong proficiency with SQL databases including Microsoft SQL Server, Oracle, and cloud-based options.
Hands-on ETL/ELT development experience using Informatica or Talend.
Demonstrated expertise in data modeling techniques, including dimensional modeling for enterprise data warehouses.
Proficiency in programming languages such as Python and Java, with automation scripting in VBA, Bash, and shell scripting.
Familiarity with business intelligence tools like Looker or similar platforms for reporting and analysis.
Understanding of RESTful API integration for linked data access.
Knowledge of analytics approaches related to database design, query management, model training, and analytics methodologies.
Experience delivering value in fast-paced environments using Agile methodologies.

Technologies

Informatica
Talend
Apache Spark
Apache Hive
AWS
Azure Data Lake
Hadoop
S3
Redshift
Glue
Microsoft SQL Server
Oracle
SQL
Python
Java
VBA
Bash scripting
Shell Scripting
Looker
RESTful API

Pay

$65.00 - $85.00 per hour

Location

New York, NY (remote)

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Today

Operations Data Visualization and Analytics Engineer IV

CareSource Dayton, OH 🇺🇸 Remote

Dayton, OH

Today

$94k - $165k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

The Operations Data Visualization and Analytics Engineer IV role at CareSource is based in Dayton, Ohio, with remote work options. The position focuses on building scalable database and ETL solutions, developing Power BI dashboards, and translating data into actionable insights to support leadership decisions and cross functional initiatives.

Responsibilities

Design department wide, scalable database architectures to support reporting functionality.
Develop ETL workflows for automated data refreshes and routine report delivery.
Build and deploy Power BI dashboards that provide leadership with actionable insights driving key business decisions.
Transform data sets and analyses into accessible and practical information for department leaders.
Create sophisticated analytic tools leveraging the data pipeline to generate actionable insights, performance metrics, historical trends, and benchmarks.
Identify and implement internal process improvements, automate manual tasks, and optimize data delivery.
Perform complex data analyses to address critical business questions.
Present data analyses in a concise, executive level format that is engaging and impactful.
Develop cohesive strategic plans for delivering complex solutions involving multiple stakeholders.
Gather and analyze data, document business requirements, specify technology needs, review specifications, and test relevant systems.
Develop, document, and perform testing and validation as required.
Examine data relations and explain complex data relationships to answer business questions.
Mentor and guide junior department members on key projects.
Create, implement, and enforce coding standards for the team.
Lead and participate in large scale data transformation and visualization projects requiring cross functional collaboration.
Address multi dimensional problems and produce reports, dashboards and presentations.

Technologies

Power BI

Benefits

Bonus tied to company and individual performance.
Total rewards package.

Education Requirements

Bachelor's degree in Computer Science, Management Information Systems, related field, or foreign degree equivalent.

Experience Requirements

Seven years of progressively responsible experience working with ETL, BI, and database solutions to translate business requirements.
At least three of these years must be in the health plan or healthcare industry.

Travel

Candidate may work remotely from anywhere in the United States.

Compensation Range

$94,100.00 - $164,800.00 per year

Compensation Type

Salary

Organization Level Competencies

Fostering a Collaborative Workplace Culture
Cultivate Partnerships
Develop Self and Others
Drive Execution
Influence Others
Pursue Personal Excellence
Understand the Business

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Today

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

Today

Full time AI Ai Ml Amazon Bedrock

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Job Description

Hudson Manpower is seeking a GenAI / Machine Learning AI / Data Scientist for a remote, W2-only engagement. The role targets professionals with 10+ years of hands-on experience who will focus on developing prototypes, PoCs, and MVPs using AI and GenAI capabilities.

Location

Sunnyvale, CA (remote)

Responsibilities

Ability to develop prototypes, PoCs, MVPs using one or more of the following,

Requirements

Fully remote position
H1B sponsorship is not available; all other candidates may apply
Engagements on a W2 basis only
Minimum 10 years of experience in AI/ML
Solid foundation in AI, deep learning, and machine learning principles
Proficiency in Python and tools such as Hugging Face, Langchain, and the OpenAI API
Hands-on experience with TensorFlow, Keras, and PyTorch
Familiarity with Google Model Garden, Amazon Bedrock, and Nvidia Nim
Experience with multi-modal data and intelligent agent-based tools
Self-motivated with a collaborative and innovative mindset and a passion for solving hard AI/GenAI problems

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

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Today

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Menlo Park, CA 🇺🇸 Remote

Menlo Park, CA

Today

Full time Artificial Intelligence Data Science Genai

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Job Description

Hudson Manpower offers a fully remote GenAI, machine learning, and data science role designed for senior practitioners. This is a 100% remote, W2 opportunity requiring 10+ years of hands-on experience. No H1B sponsorship is available. The position supports flexible work arrangements and invites experienced professionals who thrive in collaborative, innovative environments to contribute to advanced AI initiatives.

The team values a proactive mindset and a deep commitment to solving hard problems with GenAI and AI methods. If you excel in autonomous yet collaborative work, this role provides an environment to influence real-world AI outcomes while maintaining a strong focus on quality and impact.

Responsibilities

Develop prototypes, PoCs, and MVPs using Python and related GenAI/ML frameworks and tools, including Hugging Face, Langchain, OpenAI API, TensorFlow, Keras, PyTorch, Google Model Garden, Amazon Bedrock, and Nvidia Nim.

Requirements

No H1B candidates
Only W2 candidates
Experience: 10+ years
100% remote

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

Skill Sets

AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles
Programming Skills: Proficiency in Python and tools like Hugging Face, Langchain, and OpenAI API
Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch
Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim
Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated, collaborative, and innovative, with a passion for solving hard AI problems

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Today

Senior Data Scientist - AI Trainer

DataAnnotation Mobile, AL 🇺🇸 Remote

Mobile, AL

Today

$50 - $100/hr Contract Senior Ai Training Analytics

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Job Description

DataAnnotation is seeking a Senior Data Scientist - AI Trainer for a remote contracting role based in Alabama to train AI models by evaluating AI-generated quantitative work and providing feedback to improve quantitative reasoning.

Responsibilities

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
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 well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Requirements

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and timing, on your own computer from home.
Competitive pay: hourly rates from USD 50 to 100, with bonus opportunities on select projects.
Impact: contribute to shaping AI systems for quantitative reasoning in data and analytics.

Note

Payments are issued via PayPal. We will never ask for money from applicants. This position is open to candidates in the US, Canada, the UK, Ireland, Australia, and New Zealand.

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Today

AWS AI Engineer

Hudson Manpower New Jersey 🇺🇸 Remote

New Jersey

Today

Full time Amazon Web Services Artificial Intelligence AWS

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Job Description

Hudson Manpower is seeking a Senior AI AWS Engineer in New Jersey with remote work options. The role centers on building retrieval-augmented generation (RAG) systems, fine-tuning large language models, and delivering cloud-native AI services within an enterprise AWS environment.

Responsibilities

Hands-on development and operations with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Lead the implementation of AWS cloud services spanning infrastructure, machine learning workflows, and AI platform services.
Develop LLM-based applications, including Retrieval-Augmented Generation (RAG) architectures using LangChain and related frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI and ML operations.
Create and maintain technical documentation for the team and internal customers.
Excellent verbal and written communication skills in English.

Requirements

Seven years of hands-on software engineering experience with a strong focus on Python.
Proficient with AWS services, notably Bedrock or SageMaker.
Familiar with fine-tuning large language models or building datasets and deploying ML models to production.
Demonstrated experience with AWS Organizations and policy guardrails (SCP, AWS Config).
Solid experience implementing RAG architectures and LangChain.
Demonstrated experience in Infrastructure as Code best practices and building Terraform modules for AWS.
Strong background in Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with release pipeline integration.