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Latest Jobs

8d ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Essex County, NJ 🇺🇸 Remote

Essex County, NJ

8d ago

Full time Ai Ml Artificial Intelligence Cloud Platforms

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Job Description

Hudson Manpower is seeking a Senior GenAI Engineer for a fully remote opportunity anchored in Essex County, New Jersey. The role requires ten or more years of experience in AI and machine learning, with a focus on building prototypes, proofs of concept, and minimum viable products using GenAI tools. This is a W2 employment position with no H1B candidates.

Responsibilities

Develop prototypes, PoCs, and MVPs.

Requirements

Ten+ years of experience in AI, deep learning, and machine learning.
100% remote work arrangement.
No H1B candidates; all other eligible applicants may apply.
W2 employment only.
Strong foundation in artificial intelligence, deep learning, and machine learning principles.
Proficiency in Python programming.
Experience with Hugging Face.
Experience with Langchain.
Experience with the OpenAI API.
Experience with TensorFlow.
Experience with Keras.
Experience with PyTorch.
Experience with Google Model Garden.
Experience with Amazon Bedrock.
Experience with Nvidia Nim.
Experience handling multi-modal data.
Experience with intelligent agent-based tools.
Self-motivated, collaborative, and innovative mindset.

Technologies

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

Location and Employment Details

Location: Essex County, New Jersey, with 100% remote work.

Employment Type: W2 only. No H1B candidates accepted; all other eligible applicants may apply.

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8d ago

Data Scientist/Sustainment Engineer

CACI Chantilly, VA

Chantilly, VA

8d ago

$104k - $218k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Join a team that prioritizes integrity, trust, and ongoing professional growth. This onsite role in Chantilly, VA blends data science with sustainment engineering, offering a competitive salary range and a comprehensive benefits package designed to support you and your family.

Location: Chantilly, VA (onsite) • Salary: USD 103,800 - 218,100 per year • Education: Bachelor’s degree

What you can expect includes a culture of integrity, an environment of trust, and a focus on continuous growth.

Benefits

Healthcare
Wellness programs
Financial benefits
Retirement benefits
Family support
Continuing education
Time off benefits

Responsibilities

Collaborate with cross functional teams to define and tackle complex analytics problems.
Analyze large datasets to uncover actionable insights.
Develop, deploy, and maintain machine learning models and algorithms.
Work with data engineers to enhance data collection and storage.
Communicate findings and recommendations clearly to stakeholders.
Support broad data management efforts including strategy, modeling, documentation, data feeds, infrastructure, ingestion automation, transformation, catalog and metadata management, quality, and governance.
Design, build, and maintain interactive Tableau dashboards and reports aligned to business objectives.
Connect Tableau to diverse data sources such as SQL databases, cloud platforms, and spreadsheets.
Stay current with Tableau features, best practices, and emerging BI trends.
Respond to incidents and changes from customers, including Tier 2 triage.
Address alerts and user-reported issues, escalate when needed, and resolve tickets using sound judgment within established practices.
Assist deployment teams with approved release packages and break-fix work on ServiceNow, following configuration, change, and release management policies.
Help develop installation instructions and supporting documentation for system design deployments.
Collaborate to provide technical input on system design, installation, configuration, tuning, capacity planning, troubleshooting, and problem resolution.
Patch cloud servers and applications, configure software, respond to outages, monitor performance, and troubleshoot issues.

Requirements

Active TS/SCI clearance with a polygraph.
5+ years of experience as a Data Scientist, Data Analyst, or related role.
Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field.
Security+ or DoD 8570 IAT Level II certification, or ability to obtain within 3 months of hire.
Proficiency with data visualization tools such as Tableau and PowerBI, including data connections, manipulation, and visualization.
Experience scripting in Tableau for automation, troubleshooting, integration, and performance optimization.
Knowledge of statistical analysis methods and data visualization tools.
Strong problem solving and attention to detail.
Excellent communication and interpersonal skills for working with business partners, engineers, and users needing fixes.
Collaborative team player with a willingness to assist others.
Ability to prioritize in a fast-moving environment with urgency and self-motivation.
Proficiency in Python, R, SQL, and other relevant programming languages.
Tableau Certified Professional is preferred.
Knowledge of cloud data platforms (AWS, Azure, Google Cloud) and data governance and security best practices.

Technologies

Tableau
PowerBI
SQL
Python
R
ServiceNow
AWS
Azure
Google Cloud

Job ID: 327207

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8d ago

Data Scientist - AI Trainer

DataAnnotation Philadelphia, PA 🇺🇸 Remote

Philadelphia, PA

8d ago

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

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Job Description

DataAnnotation is seeking a Data Scientist - AI Trainer for a remote role based in Philadelphia, PA. This position offers fully remote work from anywhere in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand, with a flexible schedule and competitive compensation. The role pays USD 50 - 100 per hour. You will evaluate AI generated quantitative work, design quantitative problems to train and benchmark AI systems, and provide feedback to help shape the next generation of AI models focused on data and analytics.

Responsibilities

Assess AI generated quantitative outputs for technical accuracy and real world validity, covering statistical analysis, predictive modeling, scientific reasoning, and data driven insights.
Develop and solve quantitative challenges used to train and benchmark AI systems in areas such as forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and well documented analytical code.
Deliver feedback that directly informs the next generation of AI models designed for quantitative reasoning.

Requirements

At least 2 years of hands-on experience in a quantitative role or research setting, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Ability to write and review analytical code end to end; some coding experience is required.
Practical experience with statistical methods, predictive modeling, and experimental design, including A/B testing, hypothesis testing, regression, classification, and time series forecasting.
Fluency in English with strong writing skills.
Bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
Relevant credentials are a plus, such as Kaggle rankings, AWS or GCP ML certifications, or equivalent demonstrated expertise.

Benefits

Fully remote work from anywhere in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand.
Flexible schedule that lets you choose projects and set your own hours.
Competitive pay with hourly rates up to $60 USD; higher paying projects available for strong performers.
Impactful work that helps shape AI systems built for data and analytics.

Notes

Payment is made via PayPal.
We will never ask for money from you.
This job is available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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8d ago

Marketing Data Scientist - AI Trainer

DataAnnotation Salinas, CA 🇺🇸 Remote

Salinas, CA

8d ago

$50 - $100/hr Full time Marketing Ai Ml Ai Training

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Job Description

Marketing Data Scientist - AI Trainer at DataAnnotation, a remote role focused on evaluating and shaping AI-generated quantitative analysis and training AI systems, with flexible scheduling and project-based pay ranging from USD 50 to 100 per hour.

Responsibilities

Assess AI-generated quantitative output for technical accuracy and practical validity, covering statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
Create and solve quantitative challenges used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Document analyses with clear technical explanations and well-documented code.
Provide actionable feedback to influence the next generation of AI models designed for quantitative reasoning.

Requirements

2+ years in a quantitative role or research setting such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience with the ability to write and review analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design including A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
Fluency in English with strong writing skills (native or bilingual).
Bachelor's degree in a quantitative field is preferred; master's or PhD is a plus.
Relevant credentials are advantageous, such as Kaggle rankings or cloud ML certifications (AWS/GCP) or equivalent demonstrated expertise.

Benefits

Fully remote work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule to choose projects and determine when you work.
Competitive pay with hourly projects, up to 60 USD per hour; higher-paying opportunities available for strong performance.
Opportunity to influence AI systems built to reason about data and analytics.

Notes

Payment is made via PayPal; we will never ask for money from you.
This opportunity is available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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8d ago

Data Scientist - AI Trainer

DataAnnotation Wyomissing, PA 🇺🇸 Remote

Wyomissing, PA

8d ago

$50 - $100/hr Contract Ai Ml Ai Training Artificial Intelligence

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Job Description

Remote contract Data Scientist - AI Trainer role with DataAnnotation, based in Wyomissing, PA, focused on designing coding challenges, crafting code and explanations, and evaluating AI-generated solutions.

Responsibilities

Create and solve a variety of coding problems used to train AI systems.
Produce concise, well-written code samples accompanied by thorough explanations.
Assess AI-generated code for accuracy, performance, and readability.
Provide actionable feedback that informs subsequent AI model iterations.

Requirements

Proficient English language skills, native-level or bilingual.
Strong ability in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar proficiency.
Bachelor's degree (completed or in progress).

Technologies

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

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and set your own hours, on your own computer from home.
Competitive pay: hourly range of $50 to $100 USD, with potential higher bonus rates on select projects.
Impact: help shape the future of AI technologies.

Note

Payment is made via PayPal. We will never ask for money from you. PayPal handles currency conversions from USD. This position is open to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand; those outside these regions will not see work or assessments on our site at this time.

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8d ago

Data Scientist - AI Trainer

DataAnnotation Clintonville, WI 🇺🇸 Remote

Clintonville, WI

8d ago

$50 - $100/hr Contract Ai Ml Ai Trainer Ai Training

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Job Description

DataAnnotation is expanding its remote data science team with an AI Trainer who can shape the next generation of AI systems. In this contract role, you will design and solve coding challenges that trains models and write clear explanations to accompany each solution. The position supports flexible scheduling and fully remote work, reflecting a modern, distributed approach to AI training.

Key details:

Location: Clintonville, WI (remote)
Salary: USD 50 - 100 per hour
Education: Bachelor's degree
Job type: Contract

Responsibilities

Design and solve a variety of coding problems used to train AI systems.
Craft clear, high-quality code snippets and thorough explanations.
Assess AI-generated code for accuracy, performance, and readability.
Deliver feedback that helps steer the development of future AI models.

Requirements

Fluency in English at native or bilingual level.
Proficiency in at least one of the following languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Strong writing and grammar skills.
A bachelor’s degree (completed or 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

Benefits

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

Note

Payments are processed via PayPal. No money is ever requested from candidates. PayPal handles currency conversions from USD. This opportunity is restricted to residents of the US, Canada, the UK, Ireland, Australia, and New Zealand. Candidates outside these regions will not see work or assessments available on the site at this time.

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8d ago

AI Engineer / Data Scientist, AI Manager

PRICE WATERHOUSE COOPERS Dallas, TX

Dallas, TX

8d ago

$99k - $297k/yr Full time Manager Artificial Intelligence Business Analytics

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Job Description

PwC's Data and Analytics Engineering practice in Dallas is seeking an AI Engineer / Data Scientist, AI Manager to lead the development of advanced AI and ML solutions and turn raw data into actionable insights. This role blends hands-on technical leadership with client account management, ownership of projects from strategy through delivery, and mentoring to elevate team capabilities and client value.

Overview

Location: Dallas, TX (onsite)
Salary: USD 99,000 - 297,000 per year
Minimum experience: 4 years
Education: Bachelor's degree

Responsibilities

Lead the development and deployment of advanced AI and machine learning solutions to drive innovation and improve business processes
Design and optimize algorithms, models, and systems to enable intelligent decision making and automation
Transform raw data into actionable insights to support informed decision making and business growth
Supervise and coach teams to deliver high-quality work and meet client expectations
Analyze interdependencies and interactions within complex systems to improve efficiency and effectiveness
Own projects end to end, including planning, budgeting, execution, and delivery
Collaborate with team leadership to maintain shared ownership of quality, timelines, and deliverables
Encourage skill development beyond comfort zones and mentor team members to deepen their skills
Address conflicts or issues through direct conversations with clients, team members, and stakeholders
Uphold professional and technical standards, including PwC code of conduct and independence requirements

Requirements

At least a Bachelor's degree
At least 4 years of experience

Technologies

AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave
Annual discretionary bonus

What Sets You Apart

Formal study in analytics/data science, artificial intelligence/robotics, computer science/information systems, or engineering
Certifications related to data engineering, machine learning, and cloud platforms (AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related credentials)
Proven proficiency in AI implementation and machine learning
Experience excelling in client support and engagement
Strong capabilities in data and analytics engineering
Track record of leveraging technology and innovation in project execution
Ability to motivate and inspire teams to deliver quality results