$37.75 - $51/hr
Maintain and improve internal annotation tools and specialized databases designed for genomics ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
New
$37.75 - $51/hr
Maintain and improve internal annotation tools and specialized databases designed for genomics ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
New
Annotation Judge information
What is an Annotation Judge?
An Annotation Judge is a professional who evaluates the quality and accuracy of labeled data, such as text, images, or audio, which has been annotated for use in machine learning and artificial intelligence projects. Their main responsibility is to review, verify, and ensure that the data annotations meet specific guidelines and standards. Annotation Judges play a critical role in improving the reliability of training datasets, which directly impacts the performance of AI systems. They often work closely with data annotators, quality assurance teams, and project managers to maintain high data quality.
What are the key skills and qualifications needed to thrive as an Annotation Judge, and why are they important?
To thrive as an Annotation Judge, you need strong analytical skills, attention to detail, and subject matter expertise relevant to the data being evaluated, usually supported by a degree in a related field. Familiarity with annotation platforms, data labeling tools, and quality assurance systems is typically required. Excellent communication, impartiality, and critical thinking help you provide clear feedback and maintain high annotation standards. These skills are crucial to ensure data accuracy and consistency, which directly impact the performance of machine learning models.
What is the difference between Annotation Judge vs Data Annotator?
| Aspect | Annotation Judge | Data Annotator |
|---|---|---|
| Credentials | Typically requires basic education, sometimes certification in data labeling | Usually requires similar or less formal education, often on-the-job training |
| Work Environment | Office or remote, working with data labeling platforms | Office or remote, performing data labeling tasks |
| Industry Usage | Used across AI, machine learning, and data science projects | Common in AI, machine learning, and data preparation workflows |
| Search & Comparison Intent | Often compared for roles involving data review and quality control | Compared for entry-level data labeling roles |
The main difference between an Annotation Judge and a Data Annotator lies in their roles. Annotation Judges typically review and validate annotations made by Data Annotators, ensuring quality and accuracy. Data Annotators perform the initial labeling of data. Both roles are essential in AI data pipelines, with Annotation Judges focusing on quality control and Data Annotators on data preparation.
What are some common challenges faced by Annotation Judges, and how can they effectively overcome them?
Annotation Judges often face challenges such as maintaining impartiality, handling ambiguous or subjective data, and ensuring high consistency across large volumes of work. To overcome these, it’s essential to follow established guidelines closely, communicate regularly with team members for clarification, and participate in calibration sessions. Staying detail-oriented and seeking feedback can also help maintain accuracy and fairness in their assessments.
What are popular job titles related to Annotation Judge jobs in Missouri? For Annotation Judge jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Annotation Judge jobs in Missouri look for? The top searched job categories for Annotation Judge jobs in Missouri are:
What cities in Missouri are hiring for Annotation Judge jobs? Cities in Missouri with the most Annotation Judge job openings:
$37.75 - $51/hr
Full-time
Posted 2 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 C++ Developer based in Netherlands.
As a C++ Developer, you will contribute to the development of high-performance backend solutions supporting cutting-edge genomic analysis and precision healthcare technologies. Working within a collaborative, distributed engineering team, you will build scalable applications that process complex genetic data while maintaining exceptional standards of quality, reliability, and performance. This role offers the opportunity to take ownership of impactful projects, optimize large-scale systems, and collaborate with multidisciplinary experts across software engineering, bioinformatics, and product development. If you enjoy solving challenging technical problems in a fast-paced, innovation-driven environment, this position offers meaningful work with real-world scientific impact.
Accountabilities
- Develop, maintain, and enhance high-performance C++ backend applications and core libraries for processing and analyzing genomic data.
- Write clean, reusable, well-tested, and efficient code supported by comprehensive unit and regression testing.
- Take end-to-end ownership of technical projects, from design and implementation through testing and deployment.
- Optimize application performance, scalability, reliability, and availability to support large-scale data processing.
- Maintain and improve internal annotation tools and specialized databases designed for genomics workloads.
- Produce clear technical documentation covering software architecture, implementation details, and development processes.
- Participate in code reviews, technical discussions, and continuous improvement initiatives.
- Collaborate closely with backend engineers, bioinformaticians, and product stakeholders to deliver robust and scalable solutions.
- Bachelor's or Master's degree in Computer Science or a related field.
- At least 3 years of professional experience developing backend applications with modern C++ (preferably C++17 or newer).
- Strong knowledge of templates, STL containers, smart pointers, multithreading, memory management, and object-oriented design principles.
- Experience working with relational databases, including query optimization and database schema design.
- Solid understanding of distributed cloud-based systems and large-scale data processing environments.
- Experience participating in code reviews and collaborating within agile software development teams.
- Excellent written and verbal communication skills in English.
- Adaptable, collaborative mindset with the ability to contribute across different technical areas when needed.
- Experience with Redis, gRPC, or similar technologies is considered a strong advantage.
- Background in bioinformatics or an interest in learning about genomics and precision medicine is highly valued.
- Competitive compensation package aligned with your experience and expertise.
- Fully remote-first working environment promoting flexibility and work-life balance.
- Opportunity to work at the intersection of healthcare, genomics, and advanced software engineering.
- Exposure to cutting-edge technologies and innovative large-scale backend systems.
- Continuous learning and professional development opportunities within a highly collaborative international team.
- Meaningful work contributing to technologies that support scientific research and clinical innovation.
- Inclusive workplace committed to diversity, equal opportunity, and professional growth.
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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