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Freelance Machine Learning Data Annotation Jobs in Peru, IL

Cengage Learning

Sr Learning Manager

Ohio, IL · On-site +1

Their work involves forming hypotheses, reviewing data, studying audience needs, and examining ... Support freelance and vendor content creators as necessary to ensure content quality and timely ...

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Freelance Machine Learning Data Annotation information

See Peru, IL salary details

$12

$20

$32

How much do freelance machine learning data annotation jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for freelance machine learning data annotation in Peru, IL is $20.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $23.51 per hour, depending on experience, location, and employer.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are the key skills and qualifications needed to thrive as a freelance machine learning data annotation specialist?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

Can I work for freelance machine learning data annotation with no experience?

Freelance machine learning data annotation jobs often do not require prior experience, as many tasks involve simple labeling or categorization that can be learned quickly. Basic computer skills, attention to detail, and familiarity with annotation tools are helpful, and training is usually provided. However, building a portfolio or gaining some familiarity with data annotation platforms can improve job prospects.

What cities near Peru, IL are hiring for Freelance Machine Learning Data Annotation jobs?

Cities near Peru, IL with the most Freelance Machine Learning Data Annotation job openings:

Freelance Machine Learning Data Annotation jobs near you
Infographic showing various Freelance Machine Learning Data Annotation job openings in Peru, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $42,731 per year, or $20.5 per hour.

Sr Learning Manager

Cengage Learning

Ohio, IL • On-site, Remote

Full-time

Posted 6 days ago

Key responsibilities

  • Share information, assess, plan, design, and review higher education materials.

  • Support new authors to ensure content and learning experiences align with customer needs and strategic vision.

  • Review and update content plans to ensure alignment with strategy, quality standards, and research-based insights.

Job description

We believe in the power and joy of learning

At Cengage, our employees have a direct impact in helping learners around the world discover the power and joy of learning. We are bonded by our shared purpose - driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

Our culture values inclusion, engagement, and discovery

Our strong culture drives our business. We believe an inclusive workplace is essential to our company's success, learners, and well-being. We recognize the importance of diverse perspectives in everything we do. We work to ensure employees of all levels and backgrounds feel encouraged to voice ideas and be authentic at work. We meet these priorities through programs, benefits, and initiatives woven into our daily work. For more information, see https://www.cengagegroup.com/about/inclusion-and-belonging/.

The Higher Ed Editorial and Learning Team develops a content and program investment strategy. This strategy sets the global standard for relevancy, comprehensiveness, and pedagogical design supported by research. Their work involves forming hypotheses, reviewing data, studying audience needs, and examining market, competitive, and industry trends. They test ideas and decide on content design using insights and evidence.

Learning Managers

Cengage empowers users to build rewarding careers with tailored learning experiences that link existing skills to necessary skills. Learning Managers (LMs) demonstrate their knowledge and experience in student and instructor needs, learning science, and curriculum development to enable the content strategy for their focus areas. Using an agile and strategic approach, market-based insights, and instructional design methodologies, LMs recommend and implement improvements to higher-education course materials and career-training curricula. LMs collaborate with a wide range of team members including editorial managers, program associates, content project managers, researchers, product marketing managers, authors/content creators, external vendors, and more. Our LMs are curious, tenacious, dedicated to sharing ideas, and committed to questioning the status quo in learning.

What you'll do here

You will spend your time sharing information, assessing, planning, designing, and reviewing higher education materials. You will also support new authors to ensure our content and learning experiences align with customers' needs and Cengage's strategic vision. You will:

  • Inform and/or update author content and pedagogy with universal and portfolio-specific perspective based in learning theory, currency, and career readiness.

  • Serve as the student journey and discipline-level learning design expert, collaborating with colleagues in editorial, business strategy, marketing, authoring and content creation, and production.

  • Review new and existing content and update plans against the editorial team strategy, Cengage's quality learning standards, research-based insights, and established protocols. Ensure alignment, consistency, and appropriateness across the field.

  • Design digital content to fill gaps and seize opportunities for improving learning, based on insights into platform functionalities, user experience and satisfaction, and content usage statistics.

  • Design and advocate for improvements in accessibility, equity, and inclusivity in all aspects of content and authoring.

  • Collaborate with authors/subject matter experts/industry partners and team members throughout the curriculum development process, seeking out varied perspectives and expertise.

  • Establish and maintain field tools and guidelines for field content creation/creators.

  • Support freelance and vendor content creators as necessary to ensure content quality and timely delivery. Develop new authoring talent for the field and learning needs and understanding of digital product and use of authoring tools.

  • Apply emerging learning trends and discipline-specific guidelines to continuously innovate and improve learning designs. Stay current with EdTech and subject area trends, key competitive developments, learning science research, and content design standards.

Skills you will need here

  • Cultivate innovation and quality in assigned rigors and course areas, identifying chances to improve the lives of our learners through quality learning design.

  • Apply learning science and digital learning methodologies to assigned fields.

  • Communicate optimally, through strong verbal and written skills, including audience-centric analysis, persuasion, influence, and documentation.

  • Collaborate with peers using interpersonal savvy in problem-solving, making trade-offs, and building rapport.

  • Develop authoring talent/content creators to meet current and future organizational goals.

  • Handle complex, long-range projects with multiple partners in a dynamic remote-work environment.

  • Proficiency in Microsoft Office products including Outlook, Word, Excel, and file-sharing tools; experience with applied AI.

  • 3-5 years of full-time work experience, preferably with experience in a corporate environment.

  • Proven dedication to continuous professional improvement, learning, and a growth mindset.

Preferred skills and experience

  • Educational or professional background in instructional design, learning design, or related field.

  • Experience in designing inclusive content for diverse audiences.

  • Teaching experience in higher education.

  • Subject Matter Expertise in Social Science fields, such as Psychology, Political Science, or History

Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.

Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at accommodations.ta@cengage.com.

About Cengage

Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.

Compensation

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.

The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

$77,100.00 - $100,200.00 USD

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