This is a remote, part-time contract opportunity for a graphic design professional interested in ... Previous experience in data annotation, content moderation, quality evaluation, or AI/ML-related ...
This is a remote, part-time contract opportunity for a graphic design professional interested in ... Previous experience in data annotation, content moderation, quality evaluation, or AI/ML-related ...
$11.50 - $15.50/hr
This is a part-time contract position with a remote setup and scheduled sessions aligned with the ... Explain how data collection, annotation, labeling decisions, model training, evaluation, and ...
New
$11.50 - $15.50/hr
This is a part-time contract position with a remote setup and scheduled sessions aligned with the ... Explain how data collection, annotation, labeling decisions, model training, evaluation, and ...
New
Contract Data Annotation information
What is the difference between Contract Data Annotation vs Data Labeler?
| Aspect | Contract Data Annotation | Data Labeler |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote or on-site, project-based | Remote or on-site, task-based |
| Industry Usage | AI/ML training, tech companies | AI/ML training, tech companies |
| Job Focus | Annotating data for machine learning models | Labeling data to improve AI algorithms |
Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.
What is a contract data annotation?
A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.
What are the key skills and qualifications needed to thrive as a contract data annotation specialist?
To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.
What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?
Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
What are the most commonly searched types of Data Annotation jobs in Missouri?
The most popular types of Data Annotation jobs in Missouri are:
What are popular job titles related to Contract Data Annotation jobs in Missouri?
For Contract Data Annotation jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Contract Data Annotation jobs in Missouri look for?
The top searched job categories for Contract Data Annotation jobs in Missouri are:
What cities in Missouri are hiring for Contract Data Annotation jobs?
Cities in Missouri with the most Contract Data Annotation job openings:
Full-time
Posted 6 days ago
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Graphic Design Expert based in Netherlands.
This is a remote, part-time contract opportunity for a graphic design professional interested in contributing to the development of AI-powered visual evaluation systems. You will assess a large volume of graphic design examples and rate their quality against clearly defined professional criteria. Your expertise will help train AI models to better understand and evaluate visual communication, design effectiveness, and creative quality. The work requires a strong understanding of typography, composition, color, hierarchy, accessibility, and overall visual polish. You will operate independently while participating in calibration sessions designed to maintain consistent evaluation standards. With the potential for continued work beyond the initial engagement, this role offers a practical way to apply your design expertise to cutting-edge AI and machine learning projects.
Accountabilities
- Review and evaluate graphic design samples using a dedicated data-labeling platform and standardized quality criteria.
- Assess typography, including readability, hierarchy, font selection, and appropriate font pairing.
- Evaluate visual hierarchy, composition, balance, focal points, spacing, alignment, and grid usage.
- Assess the quality and execution of design elements such as icons, illustrations, imagery, and other visual assets.
- Evaluate color palettes based on harmony, contrast, accessibility, and overall effectiveness.
- Rate the overall professionalism, polish, and effectiveness of design examples using consistent 1-5 rating scales.
- Apply established rubrics and design principles objectively, separating professional assessment from personal aesthetic preferences.
- Process high volumes of design samples while maintaining accuracy, consistency, attention to detail, and concentration.
- Participate in regular calibration sessions to align evaluation standards and improve inter-rater reliability.
- Clearly communicate questions, ambiguous cases, edge cases, and potential issues with rating guidelines.
- Maintain consistent quality standards across large datasets and contribute to reliable AI training data.
- Formal training in graphic design, visual arts, or a related discipline through a degree, certificate, bootcamp, or equivalent professional education, or 2-3 years of professional graphic design experience.
- Strong understanding of core design principles, including composition, color theory, typography, visual hierarchy, layout, and visual communication.
- Ability to objectively critique and evaluate design work against established professional standards rather than relying primarily on personal taste.
- Experience reviewing designs, providing design feedback, or assessing creative work.
- Exceptional attention to detail, visual discrimination, and ability to identify subtle differences in design quality.
- Strong ability to maintain consistent judgment and apply predefined rating criteria across repetitive evaluation tasks.
- Comfortable working independently and maintaining focus and productivity during extended periods of systematic, repetitive work.
- Strong communication skills, particularly when identifying unclear examples, documenting edge cases, or requesting clarification.
- Reliable, disciplined, and methodical approach to work, with a willingness to participate in feedback and recalibration processes.
- Availability to commit at least 10 hours per week, with the initial project requiring 15+ hours per week for two weeks and a minimum commitment of 30 hours.
- A portfolio demonstrating diverse design experience and a strong critical eye is an advantage.
- Experience in design review, art direction, quality assurance, accessibility, branding, editorial, digital design, or UX/UI is beneficial.
- Familiarity with Figma, Sketch, or other modern design tools is a plus.
- Previous experience in data annotation, content moderation, quality evaluation, or AI/ML-related projects is advantageous.
- Familiarity with WCAG, inclusive design principles, design systems, or component libraries is a plus.
- Interest in artificial intelligence, machine learning, or computer vision and their applications to visual and creative fields is highly valued.
- Previous remote work experience and the ability to manage self-directed tasks are advantageous.
- Fully remote working arrangement.
- Part-time contract engagement with an initial two-week project.
- Potential for ongoing work following successful completion of the initial project.
- Opportunity to apply professional graphic design expertise to AI and machine learning development.
- Direct contribution to the training of AI models designed to understand and evaluate visual content quality.
- Flexible working structure suited to independent, remote professionals.
- Opportunity to work on cutting-edge technology at the intersection of design, visual evaluation, and artificial intelligence.
- Compensation of up to $20/hour for US-based candidates; compensation may vary by location and contract terms.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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