Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

Who we are:Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operatio...

Data Science Ai

$12k* · Senior Fully remote

Pay found in job post Retrieved from the description. Base pay range $139,900.00/yr - $304,200.00/yr

Data Science Ai

$139k* · Senior Fully remote

The Swift Group is a privately held, mission-driven and employee-focused services and solutions company headquartered...

Fulltime Data Science Ai

$49k - $290k · Senior Fully remote

Position Type: Location(s): United States, San Mateo, CA Date Posted: Job ID: R-123175 Why PlayStation? PlayStation i...

Machine Learning Ai

$187k - $281k · Senior Fully remote

SHARE REQ#: RQ215854 Public Trust: None Requisition Type: Regular Transform technology into opportunity as an AI Engi...

Ai Ai Engineer

$169k - $229k · Senior Fully remote

Must Have Technical/Functional Skills Strong hands-on Python knowledge Hands-on experience in developing API Developm...

Ai Ai Engineer Machine Learning Pytorch

$120k - $150k · Senior Fully remote

Warp: We're Building the Platform for Agentic Development Warp began with the vision of reimagining one of the fundam...

Fulltime Remote Ai Ai Engineer

$220k - $275k · Senior Fully remote

As Sr. AI/ML Engineer I, you'll MetroStar is seeking an AI / ML Engineer to support a high-visibility, enterprise AI-...

Fulltime Remote Ai Ai Engineer

$147k - $156k · Senior Fully remote

Place of work Montreal, Canada or Abu Dhabi, UAE About Role Insilico Medicine is looking for a Machine Learning Engin...

Remote Machine Learning Nlp Generative Ai

Fully remote

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You ...

Ai Ai Engineer Generative Ai

$12k* · Senior Fully remote

- GEN AI / AIML Engineer Irving, TX/ Tampa, FL (Onsite/Hybrid) Full Time only We are seeking a strong AI/Generative A...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across...

Fulltime Ai Ai Engineer Machine Learning

$90k* · Senior Fully remote

Finmatics – Your AI Accountant With Fin, the AI accountant, Finmatics makes accounting easier, faster, and smarter. I...

Remote Ai Data Science

Fully remote

Pay found in job post Retrieved from the description. Base pay range $100,000.00/yr - $160,000.00/yr

Remote Data Science Ai

$100k* · Senior Fully remote

Company Description Our Global Data & Analytics (D&A) team is the hub of harvesting and analyzing data to drive strat...

Fulltime Remote Ai Machine Learning

$75k - $85k* · Senior Fully remote

NinjaHoldings provided pay range This range is provided by NinjaHoldings. Your actual pay will be based on your skill...

Data Science Ai

$90k* · Senior Fully remote

We’re looking for a Junior Applied AI Engineer to support the design and delivery of AI-powered systems for our clien...

Remote Ai Ai Engineer Machine Learning

Fully remote

Direct message the job poster from Lorven Technologies Inc. Sathees Kumar Sathees Kumar Assistant Manager / Leading T...

Remote Ai Engineer Machine Learning Ai

$12k* · Senior Fully remote

About MVP: Headquartered in the heart of Austin, Texas, MVP is the emerging standard global brands use to value their...

Fulltime Remote Machine Learning Data Science

$75k - $85k · Senior Fully remote

Job ID: 13571 Location: Newport News, VA Category: Computer Division: CST Position Type: Term Education: Bachelor's D...

Fulltime Remote Deep Learning Data Science

$78k - $139k · Senior Fully remote

Selected role

Language Data Scientist

Innodata Inc. Ridgefield Park, NJ

$12k Senior Full-time

Job DescriptionWho we are:Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are the AI technology solutions provider-of-choice to 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years.Position SummaryInnodata is building a team of Language Data Scientists and Gen AI experts to help our customers advance GenAI applications. You will work hands-on with multi-modal and multi-lingual datasets and collaborate with cross-functional partners. You will use your experience with human and synthetic data workflows to drive innovation and continuous improvement. The ideal candidate must have the right mix of skills in (computational) linguistics and human evaluation tasks, data science, and data engineering.Who We’re Looking ForYou have at least 3 years of relevant experience with data creation, curation and analysis for GenAI applications (e.g. RAG, Agents, complex reasoning). You are an expert in designing collection, evaluation and quality assurance processes, using human-in-the-loop and synthetic techniques. You bring a wealth of expertise in language, culture, and multi-lingual projects. You are experienced in analyzing data with advanced statistical tools and driving success through process excellence.Your understanding of machine learning, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) help you tackle challenges with a critical, innovative mindset. You’re also a strong communicator, excelling in cross-functional collaboration and understanding business needs.Tell Me MoreAs a Language Data Scientist, you create and own processes for creating, validating and annotating data for use in LLM/ML applications. This can be natural language data or multimodal data including images, video, audio and others. You consult and engage with customers to understand their business goals and design processes to meet them. You generate insights about the client’s processes and products to drive improvement and innovation. You advise and support business unit heads on engaging with customers to understand the upstream activities that would be performed using Innodata Inc services.Responsibilities
Design/improve workflows to create data for AI/ML training and evaluation. Includes human annotation and data collection workflows, as well as synthetic ones.
Dive deep into existing workflows and processes to gather data and insights, make recommendations, and drive improvement through innovation and cross-functional collaboration with customers
Critically assess annotation tooling and workflows
Quantitatively analyze large datasets, perform statistical analysis, calculate metrics, and make recommendations to improve accuracy and performance
Work closely with client stakeholders on understanding goals, gathering requirements, proposing solutions and executing them.

Job requirements
Knowledge of how components of GenAI products or services combine to work
Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals
MA in (computational) linguistics, data science, computer science (AI / ML / NLU), quantitative social sciences or a related scientific / quantitative field, PhD strongly preferred

Language and language data expertise: Extensive experience working with human language data and designing human evaluation tasks, including multi-phase and complex workflows.

Deep understanding of language and its relationship with culture
Ability to identify ambiguity and subjectivity in language
Ability to work with multi-lingual and multi-modal projects
Quantitative Analysis Skills: Advanced knowledge of statistics, metrics (e.g. f1 score, inter-rater reliability metrics), and data analysis methods such as sampling.

Technical skills:

Experience with Natural Language Processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
Proficiency in Python to:

handle / transform large datasets (e.g. pre- and postprocessing data, pandas)
perform quantitative analyses
visualize data (for example matplotlib, seaborn)

Data processing:

Deep understanding of data pipelines to support ML and NLP workflows,
Knowledge of efficient data collection, transformation, and storage
Knowledge of data structures, algorithms, and data engineering principles
Excellent interpersonal skills for effective cross-functional stakeholder engagement
Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions
Ability to work independently and collaborate as part of a team
Adaptable to changing technologies and methodologies
Ability to translate experience, research and development information to understand client products and services.

Preferred Skills
Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques
Knowledge of optimizing existing generative AI models for improved performance, scalability, and efficiency
Experience of developing and maintaining ML/AI pipelines, including data preprocessing, feature extraction, model training, and evaluation
Model Fine-Tuning: Knowledge of Fine-tuning pre-trained models to adapt them to specific tasks and datasets, improving their performance and relevance
Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and nontechnical stakeholders
Contributing to establishing best practices and standards for generative AI development with customers and within the organization
Providing technical mentorship and guidance to junior team members
Understanding of techniques such as GPT, VAE, and GANs

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams.If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at [email protected] and consider reporting it to the FTC at ReportFraud.ftc.gov.

Show less

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Business Consulting and Services

Showing 1441–1460 of 4,730 AI roles

1 … 71 72 74 75 237

Find your next AI role

Language Data Scientist

Principal Data Scientist Analytics

Data Scientist

Machine Learning Engineer II, Search

AI Engineer SME

Gen AI Engineer

Applied AI Engineer

Sr. AI/ML Engineer I (6438)

NLP/ML Engineer (Canada/UAE)

Generative AI Engineer

Generative AI Engineer

AI/ML Engineer- Generative AI

Senior Data Scientist

Lead Data Scientist (Remote/Virtual)

Data Scientist - Digital

Data Scientist

Junior Applied AI Engineer

Lead AI/ML Engineer - Remote

Data Scientist

CST Data Scientist I (Nuclear Physics)