Generative AI Associate Analyst (English and Portuguese)

Innodata Inc; New Jersey; Hybrid; USD 80,000 - 100,000; Part time

Job summary

Join a forward-thinking company as a Generative AI Associate Analyst, where you’ll play a pivotal role in shaping the future of AI. This part-time, flexible opportunity allows you to contribute to innovative AI projects from anywhere in the world. You will create and analyze training data, ensuring AI models align with human values, while collaborating with diverse teams. If you are passionate about language and technology, this role offers a unique chance to make a significant impact in the AI landscape on your own terms.

Qualifications

• Bachelor’s degree in fields like Computer Science, Law, or Psychology required.
• Professional proficiency in English and Portuguese is essential.

Responsibilities

• Create training data sets for AI models to improve accuracy.
• Annotate data to align AI models with human values.
• Analyze grammar and syntax of generated text.

Skills

Attention to Detail

Writing Skills

Grammar and Syntax Understanding

Creative Thinking

Internet Research Skills

Adaptability

Education

Bachelor’s Degree in Relevant Field

Master’s or PhD (Preferred)

Job description

Job Title: Generative AI Associate Analyst(English and Portuguese)

Location: U.S. Remote

Employment Type: Flexible Contract Role (Part-time, up to 25hours weekly)

Who we are:

Innodata is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 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 AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 7,000 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.

About the Role:

At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Associates to join our global contributor community.

This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for independent contractors who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.

This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.

What You’ll Be Doing:

• Creating training data sets for AI models that will help improve their accuracy, fluency, coherence and/or voice

• Annotating data to help AI models align with human values

• Analyzing and improving the grammar, syntax, and sentence structure of both expert generated training data and AI model-generated text to ensure it adheres to linguistic rules and conventions

• Collaborating closely with cross-functional teams, including data scientists, researchers, and software engineers to refine and iterate data sets

• Contributing to evolving specifications for AI-model training and data recipes

• Navigating a dynamic environment and adapting to shifting guidelines and flexible priorities

• Achieving target KPIs, including daily job count and average handle time per job, within specified data production windows

Minimum Qualifications

• A Bachelor’s degree or higher in one of the following fields is required. Advanced degrees (Master’s or PhD) are strongly preferred: Biology, Business, Chemistry, Computer Science, Economics, Engineering (Electronics Engineering, Materials Engineering, Mechanical Engineering, Structural Engineering), History, Law, Math, Medical - Health Science, Philosophy, Physics, or Psychology

• Professional or Expert level proficiency (C1/C2) in English and Portuguese.

Preferred Qualifications

• Strong attention to detail

• Excellent writing skills

• Strong understanding of grammar, syntax, and semantics

• Ability to edit and improve written communication across a wide variety of fields

• Creative thinker

• Well-honed internet research skills

• Ability to embraces diverse teams

• Navigates ambiguity with grace

• Adaptability to thrive in a dynamic environment, with the agility to adjust to evolving guidelines and fluid priorities

Hourly Rate: $18.00 - $30.00 USD

Hourly rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location. As required by local law, Innodata provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.

Role LocationHourly Salary Range

California$18 to $30/hour
Colorado$18 to $30/hour
District of Columbia $18 to $30/hour

Illinois $18 to $30/hour

Minnesota$18 to $30/hour

Maryland$18 to $30/hour

New York$18 to $30/hour

Washington $18 to $30/hour

Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.

Innodata iscommitted to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist.

Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position.