Qureos Mentor

CNTXT AI

<div>
 
 CNTXT AI is a leading artificial intelligence company focused on building
 
 next-generation AI systems, products, and infrastructure
 
 . We specialize in developing
 
 multimodal AI, robotics, and intelligent agents
 
 , powered by high-quality real-world data. Data is at the core of our innovation. We invest heavily in
 
 data collection, annotation, and AI training pipelines
 
 to enable advanced systems such as
 
 embodied AI and Vision-Language-Action (VLA) models
 
 .
 
 
 
 Role Summary
 
 
 
 CNTXT AI is looking for a
 
 Robotics Data Collector
 
 to support the collection of
 
 high-quality robotics and egocentric data
 
 used to train AI models.
 
 This role involves working hands-on with
 
 robotic systems, sensors, and real-world environments
 
 to capture
 
 multimodal datasets
 
 , including video, motion, and interaction data. You will play a key role in enabling the development of
 
 intelligent robotic systems and AI agents
 
 .
 
 The ideal candidate is detail-oriented, technically curious, and comfortable working in
 
 lab and controlled real-world environments
 
 .
 
 
 
 Key Responsibilities
 
 
 
 1. Data Collection Execution
 
 <ul>
 <li>
 
 Collect
 
 robotics and egocentric (first-person) data
 
 using:
 
 </li>
 <li>
 
 Cameras (handheld, head-mounted, or robot-mounted)
 
 </li>
 <li>
 
 Sensors (IMU, depth cameras, etc.)
 
 </li>
 <li>
 
 Execute data collection tasks based on predefined
 
 scenarios and protocols
 
 .
 
 </li>
 <li>
 
 Ensure consistent and accurate recording of
 
 actions, interactions, and environments
 
 .
 
 
 
 </li>
 </ul>
 
 
 
 2. Robotics Operation Support
 
 <ul>
 <li>
 
 Assist in operating
 
 robotic systems (humanoid or mobile robots)
 
 during data collection.
 
 </li>
 <li>
 
 Support setup and calibration of:
 
 </li>
 <li>
 
 Cameras and sensors
 
 </li>
 <li>
 
 Recording systems
 
 </li>
 <li>
 
 Ensure proper functioning of hardware during experiments.
 
 
 
 </li>
 </ul>
 
 
 
 3. Data Quality &amp; Validation
 
 <ul>
 <li>
 
 Review collected data for:
 
 </li>
 <li>
 
 Completeness
 
 </li>
 <li>
 
 Clarity
 
 </li>
 <li>
 
 Accuracy
 
 </li>
 <li>
 
 Identify and flag issues such as:
 
 </li>
 <li>
 
 Missing data
 
 </li>
 <li>
 
 Recording errors
 
 </li>
 <li>
 
 Sensor misalignment
 
 </li>
 <li>
 
 Follow quality guidelines to ensure
 
 high usability for AI training
 
 .
 
 
 
 </li>
 </ul>
 
 
 
 4. Experiment Setup &amp; Execution
 
 <ul>
 <li>
 
 Prepare environments for
 
 data collection sessions
 
 .
 
 </li>
 <li>
 
 Execute tasks such as:
 
 </li>
 <li>
 
 Object manipulation
 
 </li>
 <li>
 
 Navigation scenarios
 
 </li>
 <li>
 
 Human-robot interaction recordings
 
 </li>
 <li>
 
 Follow detailed instructions to simulate
 
 real-world use cases
 
 .
 
 
 
 </li>
 </ul>
 
 
 
 5. Documentation &amp; Reporting
 
 <ul>
 <li>
 
 Maintain records of:
 
 </li>
 <li>
 
 Data collection sessions
 
 </li>
 <li>
 
 Equipment usage
 
 </li>
 <li>
 
 Issues encountered
 
 </li>
 <li>
 
 Provide feedback to improve
 
 data collection processes and protocols
 
 .
 
 
 
 </li>
 </ul>
 
 
 
 6. Safety &amp; Compliance
 
 <ul>
 <li>
 
 Follow all
 
 lab safety protocols and operational guidelines
 
 .
 
 </li>
 <li>
 
 Handle robotics equipment and sensors with care.
 
 </li>
 <li>
 
 Ensure compliance with
 
 data privacy and security requirements
 
 .
 
 
 
 </li>
 </ul>
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 
 0&ndash;3+ years of experience
 
 </li>
 <li>
 
 Data collection, field operations, or lab environments
 
 </li>
 <li>
 
 Technical or hardware-related roles
 
 </li>
 <li>
 
 Comfortable working with:
 
 </li>
 <li>
 
 Cameras, sensors, and recording devices
 
 </li>
 <li>
 
 Basic computer systems and tools
 
 </li>
 <li>
 
 Strong attention to detail and ability to follow instructions precisely.
 
 
 
 </li>
 </ul>
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 
 Experience with
 
 robotics systems or hardware environments
 
 .
 
 </li>
 <li>
 
 Familiarity with:
 
 </li>
 <li>
 
 Egocentric or first-person data collection
 
 </li>
 <li>
 
 Computer vision or AI-related datasets
 
 </li>
 <li>
 
 Basic understanding of:
 
 </li>
 <li>
 
 Robotics concepts
 
 </li>
 <li>
 
 Sensors and data recording tools
 
 </li>
 <li>
 
 Experience working in
 
 technical labs or research environments
 
 .
 
 
 
 </li>
 </ul>
 
 
 
 
 Key Traits
 
 
 <ul>
 <li>
 
 Detail-oriented and quality-focused
 
 </li>
 <li>
 
 Hands-on and execution-driven
 
 </li>
 <li>
 
 Reliable and consistent in following protocols
 
 </li>
 <li>
 
 Comfortable working in dynamic environments
 
 </li>
 <li>
 
 Curious about robotics and AI
 
 
 
 </li>
 </ul>
 
 
 
 
 Success Metrics
 
 
 <ul>
 <li>
 
 Volume and quality of data collected
 
 </li>
 <li>
 
 Accuracy and completeness of datasets
 
 </li>
 <li>
 
 Adherence to data collection protocols
 
 </li>
 <li>
 
 Reduction in data errors and rework
 
 </li>
 <li>
 
 Efficiency in executing data collection tasks
 
 
 
 </li>
 </ul>
 
 
 
 
 Why Join CNTXT AI
 
 
 <ul>
 <li>
 
 Work on
 
 cutting-edge robotics and AI systems
 
 
 </li>
 <li>
 
 Contribute to building
 
 next-generation intelligent agents
 
 
 </li>
 <li>
 
 Gain hands-on experience with
 
 robotics labs and real-world data
 
 
 </li>
 <li>
 
 Be part of a fast-growing, innovation-driven company
 
 
 
 </li>
 </ul>
</div>

Robotics Data Collector (Egypt)

<div>
 
 
 Position Summary
 
 
 
 This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:
 
 <ul>
 <li>
 
 
 Data annotation:
 
 labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.
 
 </li>
 <li>
 
 
 LLM evaluation:
 
 reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.
 
 </li>
 <li>
 
 
 Content generation:
 
 writing high-quality prompts and model responses to guide AI learning across diverse topics.
 
 </li>
 <li>
 
 
 Localization QA:
 
 ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.
 
 
 
 </li>
 </ul>
 
 You will apply senior-level Arabic localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.
 
 
 
 Profile Requirements
 
 
 <ul>
 <li>
 
 Bachelor's degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
 
 </li>
 <li>
 
 Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one dialect.
 
 </li>
 <li>
 
 Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.
 
 </li>
 <li>
 
 Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.
 
 </li>
 <li>
 
 Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.
 
 </li>
 <li>
 
 Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
 
 </li>
 <li>
 
 Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.
 
 </li>
 <li>
 
 Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.
 
 
 
 </li>
 </ul>
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 
 Professional localization or translation experience.
 
 </li>
 <li>
 
 Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.
 
 </li>
 <li>
 
 Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks).
 
 </li>
 <li>
 
 Previous experience with AI data training, annotation, or evaluation.
 
 
 
 </li>
 </ul>
 
 
 About CNTXT AI
 
 
 
 CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.
 
</div>

Arabic/English Bilingual AI Data Annotator & Evaluator (Remote, Hourly Contractor)

<div>
 
 Key Responsibilities
 
 <ul>
 <li>
 
 Design, document, and execute test plans, test cases, and regression suites for web and mobile applications across multiple projects
 
 </li>
 <li>
 
 Perform functional, usability, localization, and RTL (right-to-left) layout testing for Arabic-language interfaces
 
 </li>
 <li>
 
 Validate Arabic content quality in AI outputs, including ASR transcriptions, classifications, and summaries &mdash; covering MSA, Gulf dialects, and Arabic-English code-switching scenarios
 
 </li>
 <li>
 
 Test REST APIs and backend services (e.g., using Postman or similar tools)
 
 </li>
 <li>
 
 Build and maintain automated test suites for UI and API layers
 
 </li>
 <li>
 
 Log, track, and verify defects through to resolution; work closely with developers and product owners in an agile environment
 
 </li>
 <li>
 
 Participate in UAT cycles with clients and support release readiness sign-off
 
 </li>
 <li>
 
 Test data pipelines and platform workflows end-to-end, including user onboarding, task submission, and data validation flows
 
 </li>
 <li>
 
 Contribute to QA process improvement, test documentation standards, and quality metrics reporting.
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 
 5+ years of hands-on experience in software QA (manual and automation)
 
 </li>
 <li>
 
 Native or fluent Arabic (reading, writing, listening) and professional working proficiency in English
 
 </li>
 <li>
 
 Strong experience testing web and mobile applications (iOS/Android)
 
 </li>
 <li>
 
 Experience with test automation frameworks such as Playwright, Selenium, Cypress, or Appium
 
 </li>
 <li>
 
 Solid API testing experience (Postman, REST Assured, or equivalent)
 
 </li>
 <li>
 
 Familiarity with bug tracking and test management tools (Jira, TestRail, orsimilar)
 
 </li>
 <li>
 
 Understanding of agile/Scrum development processes
 
 </li>
 <li>
 
 Strong analytical skills with meticulous attention to detail, particularly in evaluating Arabic text rendering, diacritics, and dialectal variation
 
 
 
 </li>
 </ul>
 
 Preferred / Nice to Have
 
 <ul>
 <li>
 
 Experience testing LLM-based or GenAI applications: prompt regression testing, evaluating non-deterministic outputs, hallucination detection,response quality scoring, and guardrail validation
 
 </li>
 <li>
 
 Experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) and integrating automated tests into them
 
 </li>
 <li>
 
 Basic scripting ability in Python or JavaScript for test tooling
 
 
 
 </li>
 </ul>
</div>

Senior QA Engineer (Arabic-Speaking)

Robotics Data Collector (United Arab Emirates)

<div>
 
 Responsibilities
 
 <ul>
 <li>
 Set up and configure an RF test bench including SDR hardware, directional antennas, LNA, and coaxial cabling.
 </li>
 <li>
 Develop GNU Radio Python scripts for signal generation, capture, and processing.
 </li>
 <li>
 Implement signal processing algorithms including coherent stacking, time gating, correlation-based detection, and feature extraction.
 </li>
 <li>
 Build and train ML classifiers (Random Forest, XGBoost) on RF signal features for pattern recognition.
 </li>
 <li>
 Develop a web-based results dashboard using Streamlit for visualizing signal data and detection outputs.
 </li>
 <li>
 Configure and manage a SQLite database for storing calibration signatures and test results.
 </li>
 <li>
 Run structured experiments, document results, and produce a clear technical handover report.
 </li>
 <li>
 Follow RF safety protocols during all testing, including high-power transmission safety procedures.
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skill
 
 
 Core RF &amp; Hardware
 
 
 GNU Radio
 
 <ul>
 <li>
 Hands-on experience building flowgraphs and Python-based signal processing scripts.
 </li>
 </ul>
 
 SDR Hardware
 
 <ul>
 <li>
 Practical experience with LimeSDR, HackRF, USRP, or equivalent platforms, including setup, configuration, signal capture, and transmission.
 </li>
 </ul>
 
 RF Signal Processing
 
 <ul>
 <li>
 Experience with coherent stacking, time gating, bistatic radar geometry, correlation detection, and SNR optimization.
 </li>
 </ul>
 
 Antenna Systems
 
 <ul>
 <li>
 Knowledge of directional antennas (Yagi), coaxial cables (LMR-400), impedance matching, and connector types such as SMA and N-type.
 </li>
 </ul>
 
 RF Bench Skills
 
 <ul>
 <li>
 Comfortable assembling and troubleshooting RF hardware setups, including cables, connectors, LNA integration, and power management.
 </li>
 </ul>
 
 RF Safety
 
 <ul>
 <li>
 Familiarity with RF exposure safety standards and high-power transmission protocols.
 </li>
 </ul>
 
 
 
 
 Software &amp; Data
 
 
 Python
 
 <ul>
 <li>
 Strong experience with NumPy, SciPy, and signal processing libraries.
 </li>
 <li>
 Ability to write clean, maintainable, and well-documented production-quality code.
 </li>
 </ul>
 
 Data Management
 
 <ul>
 <li>
 Experience with SQLite or similar lightweight databases for structured data storage and retrieval
 </li>
 </ul>
 
 Streamlit / Dash
 
 <ul>
 <li>
 Ability to build simple interactive dashboards for real-time data visualization
 </li>
 </ul>
 
 Git
 
 
 -Experience with version control, maintaining clean commit histories, and documenting code effectively
 
 
 
 
 
 
 Good to Have
 
 
 
 
 
 
 Radar Systems
 
 <ul>
 <li>
 Knowledge of pulsed radar, radar cross-section (RCS), and material electromagnetic characterization
 </li>
 </ul>
 
 RF Power Amplifiers
 
 <ul>
 <li>
 Experience with high-power RF integration, amplifier chain design, and drive power requirement
 </li>
 </ul>
 
 EM Material Properties
 
 <ul>
 <li>
 Understanding of dielectric permittivity, conductivity, and material-specific RF response
 </li>
 </ul>
 
 Defense / Security R&amp;D
 
 <ul>
 <li>
 Previous experience in defense, security, or government research environments
 </li>
 </ul>
 
 Oscilloscope Proficiency
 
 <ul>
 <li>
 Ability to measure induced voltage and electrical effects in electronic circuits
 </li>
 </ul>
 
 
</div>

RF / SDR Engineer

Join CNTXT AI and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

CNTXT AI

About Company

Robotics Data Collector (Egypt)

Arabic/English Bilingual AI Data Annotator & Evaluator (Remote, Hourly Contractor)

Senior QA Engineer (Arabic-Speaking)

Robotics Data Collector (United Arab Emirates)

Robotics Data Collector (Egypt)

RF / SDR Engineer