Rampwork

Regional Language Document Annotation Specialist (Telugu, Malayalam, Odia)

Role: Regional Language Expert / Document Annotation Specialist

Work Type: Remote Contract

Languages: Telugu, Malayalam, or Odia (Odia is also known as Oriya)

Project: AI Training Data — Document Understanding

About the Role

We are looking for native speakers of Telugu, Malayalam, or Odia to help improve AI models' ability to understand regional-language documents.

In this role, you will annotate PDF pages by identifying document structures, labeling text and visual elements, determining reading order, and accurately transcribing content in its original script.

The project focuses on real-world documents, including newspapers, textbooks, examination papers, handwritten forms, tables, diagrams, notices, brochures, and mixed-script layouts. Strong language proficiency, attention to detail, and transcription accuracy are essential.

Key Responsibilities

• Review assigned PDF pages for language, legibility, content suitability, and sensitive personal information.
• Identify and mark document regions, including titles, headings, paragraphs, lists, tables, figures, diagrams, captions, formulas, questions, and answer fields.
• Assign appropriate component types and reading-order indices, including for complex, multi-column layouts.
• Link related elements, such as tables and figures, using parent component identifiers.
• Transcribe printed and handwritten text accurately in the original script.
• Maintain character-level accuracy, including script-specific characters, vowel signs, diacritics, conjunct forms, punctuation, and numerals.
• Record page metadata, including language, document type, source, dimensions, and relevant content flags.
• Flag illegible or unsuitable pages according to project guidelines.
• Review and quality-check annotations completed by other language specialists as required.

Requirements

• Native or near-native proficiency in at least one of the following languages:
• Telugu
• Malayalam
• Odia (Oriya)
• Excellent command of the relevant language's script and writing conventions.
• Strong attention to detail and commitment to high-quality transcription.
• Experience in transcription, proofreading, translation, localization, data annotation, subtitling, journalism, or regional-language content review.
• Ability to interpret complex document layouts, including tables, diagrams, multi-column pages, and handwritten content.
• Ability to follow detailed guidelines and maintain consistent annotation quality.
• Reliable internet access and the ability to work independently in a remote environment.

Preferred Qualifications

• Previous experience with AI training data, data labeling, OCR correction, or document annotation.
• Familiarity with Unicode, regional-language typing tools, and script normalization.
• Experience in document digitization, typesetting, copy-editing, or linguistic quality assurance.
• Previous experience reviewing annotations or conducting language-quality checks.

What Success Looks Like

• All meaningful document regions are accurately identified, bounded, and classified.
• Reading order and relationships between document elements are correctly recorded.
• Text is transcribed faithfully in its original script, with minimal character-level errors.
• Annotations consistently meet project quality standards and pass expert review.
• Unsuitable or illegible pages are flagged before annotation begins.

Sr. Software Engineer

Job Type: Contractor (~15 hrs a week)

Location: Remote

Schedule: Flexible, you pick the hours and days (including weekends if desired)

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

You'll create realistic, interesting and challenging coding tasks for AI to solve involving feature implementation and bug fixes, and implement deterministic verifiers that accept reasonable valid solutions and reject everything else.

What we're looking for

1. Strong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similar
2. A track record building scalable services and APIs
3. Comfort with debugging, performance work and automated testing
4. Solid code review instincts
5. A strong testing background is a big plus — experience designing test strategy, building and maintaining large test suites, diagnosing flaky tests, or raising the testing bar on a team.

Preferred Qualifications

1. Proven experience in backend development, with a track record of delivering high-quality and performant projects.
2. Demonstrated success in identifying and resolving software bugs and system bottlenecks.
3. Experience with codebase refactoring and implementing complex features in large-scale applications.
4. Strong understanding of algorithms, data structures, and foundational computer science concepts.
5. Excellent analytical, problem-solving, and technical communication skills.

A note on the process: our interview and assessment stages are designed to see how you think, so we ask that you complete them without outside assistance. The same applies once you're on the project — the value of the work comes from your own judgment.

Process:

1. Apply to the role, filling out the screening questions
2. Complete AI Interview (approx. 30 minutes)
3. Technical Assessment (Tentative)
4. Hiring Manager review

Cybersecurity Engineer – AI Training Project

About the Opportunity

We’re looking for experienced Cybersecurity Engineers to contribute technical expertise to a customer project focused on improving the capabilities of next-generation AI systems.

In this role, you’ll use your real-world experience in cybersecurity, software engineering, vulnerability assessment, and secure development to create high-quality technical inputs that help AI systems better understand, debug, secure, and reason about complex software.

What You’ll Do

• Analyze, debug, and resolve software bugs, vulnerabilities, and security issues across complex codebases.
• Review source code and identify potential security weaknesses, vulnerabilities, and attack vectors.
• Perform security assessments, vulnerability assessments, penetration testing, and codebase audits.
• Develop and modify software using languages such as Python, Java, Rust, Go, C++, or TypeScript.
• Implement new features and fix existing functionality while maintaining strong security and engineering standards.
• Refactor legacy code to improve security, maintainability, reliability, and performance.
• Work on backend systems and help optimize applications for scalability, performance, and security.
• Analyze real-world security scenarios and translate your expertise into high-quality technical examples and problem-solving tasks.
• Document technical findings, vulnerabilities, debugging approaches, and recommended solutions.
• Provide domain expertise that helps improve how AI systems reason about software engineering and cybersecurity problems.

What We’re Looking For

• Strong professional experience in Cybersecurity / Application Security / Product Security / DevSecOps / Penetration Testing / Vulnerability Management.
• Strong programming experience in one or more of:
• Python
• Java
• Rust
• Go
• C++
• TypeScript
• Proven experience with debugging, troubleshooting, and fixing complex software issues.
• Hands-on experience with penetration testing, vulnerability assessment, security auditing, or application security.
• Understanding of secure software development practices and modern security threats.
• Strong knowledge of data structures, algorithms, software architecture, and code quality.
• Ability to review unfamiliar codebases and quickly understand how systems work.
• Strong written communication and the ability to explain complex technical findings clearly.

Nice to Have

• Experience with OWASP, API security, cloud security, DevSecOps, or threat modeling.
• Experience performing security assessments on production applications or enterprise systems.
• Experience with tools such as Burp Suite, Metasploit, Nmap, Wireshark, SAST/DAST tools, or vulnerability scanners.
• Contributions to open-source security or software projects.
• Experience working with AI/ML systems, LLMs, data annotation, or AI training projects.
• Relevant security certifications such as OSCP, OSWE, CEH, CISSP, Security+, or equivalent practical experience.

Engagement

• Role: Cybersecurity Engineer
• Work: Remote(Contract)
• Experience: Mid-level to Senior
• Programming: Required
• Cybersecurity expertise: Required

Why Join?

This is an opportunity to apply your existing cybersecurity expertise to an emerging area of technology. Your practical experience debugging software, identifying vulnerabilities, securing applications, and solving complex engineering problems will directly contribute to improving the capabilities of next-generation AI systems.

If you enjoy breaking down complex technical problems, finding vulnerabilities, fixing software, and thinking deeply about how systems work, this project could be a strong fit.