Trabajo de programador Erlang

About the Role

We’re looking for a Machine Learning / Computer Vision Data Labeler to support customers onboarding and build high-quality training datasets for our computer vision products used in manufacturing environments. This role sits at the intersection of ML data operations and light product/customer work—you’ll help us understand what customers do on the factory floor, collect and analyze representative sample data from each station, and translate real-world processes into clear labeling instructions and reliable datasets.

This is not a super-senior role, but it does require strong ownership, attention to detail, and comfort working with highly confidential customer data.

Responsibilities

• Coordinate and execute sample data capture across all manufacturing stations, ensuring coverage of real-world variation
• Work with our on-site implementation team to validate camera setup outputs (camera position, field of view, recording settings, connectivity, sample clips/images).
• Organize, clean, and curate datasets (images/video), including selecting representative samples, filtering unusable footage, and documenting capture conditions.
• Perform data labeling/annotation for computer vision tasks (e.g., classification, object detection, segmentation, defect tagging, action/process step labeling—depending on the use case).
• Create and maintain labeling taxonomies and annotation guidelines that are consistent, scalable, and easy for others to follow.
• Run quality checks (spot checks, consistency reviews, edge-case handling) and partner with ML/Engineering to continuously improve label quality.
• Conduct lightweight exploratory analysis on incoming datasets (e.g., distributions, coverage gaps, common failure modes, ambiguity hot-spots).
• Flag data issues early (missing stations, misaligned camera views, insufficient examples, inconsistent definitions) and propose fixes.
• Provide structured feedback to ML and product teams: what data we have, what we’re missing, and what will improve model performance.
• Support customer onboarding by learning what the client does, mapping their workflow/stations, and translating their needs into data/labeling requirements.
• Communicate clearly with internal stakeholders and occasionally with customers to align on labeling definitions, success criteria, timelines, and data handling expectations.
• Document processes, station definitions, and dataset decisions so teams can move fast and stay aligned.
• Work with sensitive/secret customer manufacturing data and follow strict security policies (access control, secure transfer/storage, need-to-know practices, and customer-specific handling requirements).

Qualifications

• 1–4 years of experience in a role involving data labeling/annotation, ML data operations, computer vision datasets
• Working knowledge of computer vision fundamentals (classification vs detection vs segmentation; what labels are used for; why consistency matters).
• Experience with labeling tools such as CVAT, Labelbox, V7, Supervisely, or similar (or the ability to learn quickly).
• Comfort working with data formats/workflows (e.g., CSV/JSON annotations, COCO-style formats, dataset folders, basic versioning concepts).
• Strong written and verbal communication skills; able to explain labeling decisions and customer workflows clearly.
• Professional maturity and discretion—ability to handle highly confidential customer data.
• German language ok, strong communication in English preferred

Nice to Have

• Exposure to manufacturing environments (industrial processes, station-based workflows, quality inspection).
• Familiarity with camera systems / video capture pipelines (e.g., frame rate, resolution trade-offs, lighting impacts, field of view).

Offer Details

• Full-time employment via temporary agency (EoR)
• Remote only, full-time dedication (40 hours/week)
• EU Timezones
• Competitive compensation package.
• Opportunities for professional growth and career development.
• Dynamic and inclusive work environment focused on innovation and teamwork

About the Role

We’re looking for a Senior React Native Engineer with strong native iOS experience to help us build the next generation of Meltwater’s mobile products. This is a hands-on senior role for a self-driven engineer who thrives in collaborative environments, takes full ownership of their work, and is passionate about crafting high-quality mobile experiences that scale.

You’ll work across our React Native, native iOS (Swift), and native Android codebases (Java/Kotlin), collaborating closely with designers, backend engineers, and product managers to deliver intuitive, performant, and reliable apps used by thousands of customers globally. Our mobile stack is evolving—modernizing legacy iOS code (RestKit, UIKit) into React Native with shared business logic and modular architecture. You’ll play a key role in this transformation.

What You’ll Do

• Lead the development of new features and enhancements in React Native, integrating with existing native iOS (Swift) components.
• Collaborate with backend and web teams to design and implement APIs, data flows, and modern architecture patterns (MVVM, VIPER, or similar).
• Maintain and improve our CI/CD pipelines (e.g., GitHub Actions, Fastlane) for build reliability and release automation.
• Own the end-to-end delivery of mobile features—from requirements and technical design to testing and deployment.
• Drive code quality, performance optimization, and technical excellence across the team.
• Partner with Product and Design to refine scope, improve usability, and ensure smooth handoffs.
• Help mentor junior and mid-level engineers, providing code reviews and technical guidance.
• Contribute to defining and evolving our mobile architecture strategy as we migrate to a unified React Native codebase.

What We’re Looking For

• 5+ years of professional mobile development experience, with at least 2+ years in React Native and 3+ years in iOS (Swift).
• Deep understanding of React Native workflows, native module bridging, and mobile build cycles.
• Proven experience with modern iOS architecture patterns (VIPER, MVVM, or Clean Architecture).
• Strong knowledge of Swift, UIKit, and SwiftUI fundamentals.
• Familiarity with mobile CI/CD systems and automated build pipelines (Fastlane, GitHub Actions, Bitrise, etc.).
• Solid understanding of RESTful APIs, JSON parsing, and real-time/SSE data flows.
• Experience integrating with third-party SDKs such as Auth0, Firebase, and social login providers.
• Strong collaboration and communication skills—able to work cross-functionally in an agile, globally distributed team.
• A self-starter who takes ownership, identifies improvements, and delivers results without heavy supervision.

Offer Details

• Full-time contractor
• Remote only, full-time dedication (40 hours/week)
• 6 hours of overlap with PST
• 6 months contract with a possibility of extension
• Competitive compensation package.
• Opportunities for professional growth and career development.
• Dynamic and inclusive work environment focused on innovation and teamwork