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(senior) data engineer (gn) Jobs in Berlin

(senior) data engineer (gn)

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freelance data scraping engineer python

Mindrift

<div>
 
 Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
 
 
 
 In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
 
 
 This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
 
 
 
 What We Do
 
 
 
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 
 
 
 About The Role
 
 
 
 This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
 </li>
 <li>
 Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
 </li>
 <li>
 Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
 </li>
 <li>
 Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
 </li>
 <li>
 Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $37 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
 
 
 
 How To Get Started
 
 
 
 Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
 </li>
 <li>
 Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
 </li>
 <li>
 Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
 </li>
 <li>
 Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
 </li>
 <li>
 Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
 </li>
 <li>
 Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
 </li>
 <li>
 Strong attention to detail and commitment to data accuracy
 </li>
 <li>
 Self-directed work ethic with ability to troubleshoot independently
 </li>
 <li>
 A link to GitHub is a plus
 </li>
 <li>
 English proficiency: Upper-intermediate (B2) or above (required)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Why this freelance opportunity might be a great fit for you?
 
 
 
 <ul>
 <li>
 Work fully remote on your own schedule with just a laptop and stable internet connection.
 </li>
 <li>
 Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly &mdash; a distinctive skill set in a rapidly growing field.
 </li>
 <li>
 Participate in performance-based bonus programs that reward high-quality work and consistent delivery
 </li>
 </ul>
</div>

Freelance Data Scraping Engineer (Python)

GTM Base

<div>RevOps is changing fast, and so is the way GTM processes get built and maintained inside the CRM. This role puts you on the front edge of it: forward-deployed in our clients' RevOps teams, building and running their GTM systems in a genuinely AI-first environment.

GTMBase is an AI-first GTM engineering and RevOps agency. We help post-PMF B2B companies (&euro;8M to &euro;50M ARR, 5+ reps) whose go-to-market is over-performing their systems. Reps do manually what should be automated, sales and marketing data doesn't connect, and leadership can't trust the reporting.

We combine strategic GTM thinking with hands-on technical build, and we fix the foundation before running campaigns.

We deliver across Four Pillars:
<div>
<ul><li>Data Foundation: list building and enrichment so reps win with better data (Clay, Apollo, custom scrapers, AI research)</li></ul>
<ul><li>RevOps &amp; CRM: building the right GTM process inside the client's CRM, including architecture, lifecycle, pipelines, routing, and reporting (HubSpot, Salesforce)</li></ul>
<ul><li>Agentic Workflows: building agentic GTM workflows with Anthropic Managed Agents and Hermes, getting the org ready for Agentic GTM</li></ul>
<ul><li>GTM Strategy &amp; Plays: recommending and executing the highest-impact campaigns</li></ul>
</div>
We've done this for clients including Groupon, Blinkist, Booksy, and Sendify. We work in small pods, with a Strategist, a CRM Architect, and a GTM Engineer.
<h2 class="jobSectionHeader">
How We Operate</h2>

We run the company on Claude Code. It's our operating system: client context, playbooks, automations, and delivery all live in it, and AI is the default way we work rather than a bolt-on. You'll work this way too, and get very good at it.
<h2 class="jobSectionHeader">
Why This Role Matters</h2>

You're the person who turns our GTM strategy into a CRM that actually works. Most clients run their entire revenue motion on HubSpot or Salesforce, and the quality of that system runs through this role: how clean the data is, how well leads route, whether leadership can trust the reporting.

Here, &quot;Architect&quot; means architecting inside the CRM: the object model, pipelines, workflows, and automations. The GTM and revenue strategy is set with you in your pod, not by you alone, and you build it with real craft.

You're forward-deployed: you embed with clients' RevOps and sales teams and build inside their live CRM.
<h2 class="jobSectionHeader">
The Role</h2>

You'll build and maintain GTM process and automation inside our clients' CRMs, mostly HubSpot. Working from the direction set in your pod, you turn requirements into a clean, well-built system the sales team can rely on.

One week you're building a client's lead lifecycle and routing. The next you're debugging a broken automation, untangling duplicate deals, or shipping a dashboard a CRO asked for. You move across several client instances at once without dropping threads.

You're a builder with an admin's discipline. You know the object model, not just the UI. You sweat the details others miss, you test before you ship, and you document what you build so the rest of the pod can run it. When something breaks, you find the root cause and fix it properly.
<h2 class="jobSectionHeader">
How This Differs From a GTM Engineer</h2>

Your pod is you (CRM Architect), a Strategist who sets direction and hands you requirements, and a GTM Engineer. You and the GTM Engineer are both builders, but you own different layers:
<ul>
<li>You (CRM Architect, Pillar 2): the GTM process inside the CRM. HubSpot/Salesforce architecture, lifecycle, routing, deal logic, automation, reporting, data integrity. You live in HubSpot, Salesforce, Operations Hub, and n8n.</li>
<li>GTM Engineer (Pillar 1): the data layer. Enrichment, scraping, signal detection, list building, custom research agents. They live in Clay, Apify, custom scrapers, and data APIs.</li>
</ul>
Think of it as the data into the CRM (GTM Engineer) versus the system it lands in and the process the sales team runs on (you). You don't need to be a Clay or Apify expert. You just need a solid working understanding of what a GTM Engineer does, enough to spec what you need, integrate their output cleanly, and know what's possible.
<h2 class="jobSectionHeader">
What You'll Do</h2>
<ul><li>Architect and build in client HubSpot instances: information architecture (objects, associations, lifecycle stages, pipeline structure), workflows, deal logic, lead scoring, routing, properties, and permissions</li>
<li>Build and debug automations across the GTM stack: HubSpot workflows, n8n, APIs, and webhooks. When an automation breaks, you find the root cause rather than just toggling features</li>
<li>Guard data integrity: deduplication, field validation, association hygiene, and import discipline so reporting and forecasting can be trusted</li>
<li>Build the reporting leadership relies on: pipeline coverage and velocity, stage-by-stage conversion, and full-funnel dashboards. You know where HubSpot's platform and paywall limits force a different approach</li>
<li>Design integrations and data flows between HubSpot and the rest of the stack (Clay, Aircall, telephony, billing, enrichment pipelines)</li>
<li>Turn requirements into working builds: take a brief like a 15-minute lead-response SLA and ship the routing system that delivers it</li>
<li>Keep multiple client instances healthy at once, with fast turnaround and nothing falling through the cracks</li>
<li>Work client-facing: you can talk through a data question with a technical lead and walk a frustrated AE through a new flow in the same afternoon</li>
<li>Codify what works into our library of reusable plays and patterns, so every client build sharpens the whole team</li>
</ul><h2 class="jobSectionHeader">What We're Looking For</h2>

Must-have
<ul>
<li>Deep HubSpot expertise: hands-on across Sales, Marketing, Service, and Operations Hubs. You know HubSpot well enough to know what is and isn't possible at the platform level, and to choose native functionality over a workaround when it's the right call.</li>
<li>Strong CRM and RevOps fundamentals: lead lifecycle and qualification, routing and assignment, pipeline and deal-stage setup, the data model, and the governance that keeps it clean.</li>
<li>An admin's discipline: precise, reliable, and detail-obsessed. You test before you ship, you keep data clean, and you don't let things fall through the cracks.</li>
<li>A builder's instinct: you build workflows and integrations, debug them when they break, and aren't intimidated by APIs, webhooks, or a tool you haven't used yet.</li>
<li>AI-first, and we mean it literally: AI is your default operating mode, not a novelty. Your first move on a problem is to reach for an agent, a prompt, or a workflow before a manual process. If you're not already using AI tools daily, this isn't the right fit. (If your CRM fundamentals are deep but your GTM-tooling experience like Clay or Claude Code is light, that part is learnable and we'll back you on it. The fundamentals and the AI-first instinct are not.)</li>
<li>Forward-deployed temperament: comfortable building across multiple clients in parallel, client-facing, proactive, and able to move fast without waiting for perfect requirements.</li>
<li>Full-time availability with reliable overlap to CET hours.</li>
</ul>
Nice-to-have
<ul>
<li>Salesforce: admin or build experience, especially HubSpot to Salesforce sync and migrations (relevant to Groupon and enterprise work)</li>
<li>A working understanding of the GTM Engineer's toolkit: Clay, Apify, enrichment providers (ZoomInfo, Apollo, Clearbit), scraping. Enough to collaborate, spec, and integrate. Your pod's GTM Engineer owns the deep builds.</li>
<li>n8n orchestration and custom API integrations</li>
<li>Scripting (Python, SQL, or JavaScript) for data manipulation and custom connectors</li>
<li>German: a good chunk of our client base is DACH</li>
<li>HubSpot certifications: a plus, never a gate. Demonstrated depth matters more.</li>
</ul><h2 class="jobSectionHeader">What You'll Get</h2>
<ul><li>Real client build work from day one, with no busy work and no hand-holding</li>
<li>A front-row seat in a genuinely AI-first environment: Claude Code as the operating system, Clay, and the full modern GTM stack</li>
<li>Direct collaboration with one of the most experienced RevOps leaders in Europe</li>
<li>Exposure to a wide range of B2B companies, stacks, and GTM problems</li>
<li>A seat at the table in a growing practice, not a cog in a machine</li></ul></div>

Forward-Deployed CRM Architect

ALMETRA

<div>We&rsquo;re looking for a Computer Vision Engineer focused on bringing advanced vision models into production. You&rsquo;ll own the full lifecycle of CV systems &mdash; from model integration and orchestration to deployment on cloud and edge environments.<h2 class="jobSectionHeader"> 
Your role</h2><ul><li>
Develop and deploy computer vision models for real-world video and sensor applications</li><li>
Build reliable training, evaluation and inference pipelines for large-scale data</li><li>
Operate and optimise GPU clusters, Docker/Kubernetes environments and cloud workloads</li><li>
Implement CI/CD, versioning and orchestration for ML pipelines</li><li>
Collaborate with research engineers to transition prototypes into scalable, production-grade systems</li><li>
Work with robotics and platform teams to ensure robust deployment at the edge</li></ul><h2 class="jobSectionHeader">
You are</h2><ul><li>
5&ndash;7 years experience in computer vision, ML engineering or production AI systems</li><li>
Strong in Python, PyTorch and modern CV architectures (e.g. temporal transformers, detection, tracking)</li><li>
Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow, etc.)</li><li>
Familiar with distributed training, GPU management and inference optimisation</li><li>
Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling</li><li>
Pragmatic engineer &mdash; focused on reliability, reproducibility and maintainability</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience deploying CV models on edge devices or embedded systems</li><li>
Familiarity with TensorRT, quantisation, and real-time inference optimisation</li><li>
Background in video analytics, action recognition or multi-modal perception</li><li>
Understanding of model orchestration frameworks and large data pipelines</li></ul><h2 class="jobSectionHeader"> 
Why this role matters</h2> 
You bridge research and production &mdash; turning cutting-edge computer vision models into robust, real-time systems that power intelligent industrial automation.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;80K - &euro;120K</div>

Senior Computer Vision Engineer (m/f/d)

<div>We&rsquo;re looking for a backend engineer who thrives in fast-moving environments and enjoys building robust systems end-to-end. You&rsquo;ll work across data pipelines, APIs and infrastructure, ensuring our platform runs efficiently and scales cleanly as we grow.
Your role<ul><li>
Develop and maintain backend features and APIs for our core platform</li><li>
Improve database performance, reliability and real-time data processing</li><li>
Debug, profile and optimise code to keep latency low and systems stable</li><li>
Collaborate with AI, frontend and product teams to integrate new capabilities</li><li>
Contribute to architectural decisions and shape the evolution of our backend stack</li></ul>
You are<ul><li>
5-7 years&rsquo; experience building production-grade backends (Python is a must; additional experience in Go, C++, or Java is valuable)</li><li>
Solid in SQL and data modelling (PostgreSQL or similar)</li><li>
Experienced with REST APIs and cloud environments (AWS preferred)</li><li>
Comfortable working independently and taking ownership of a problem</li><li>
Startup mindset &mdash; quick to ship, focused on quality, allergic to bureaucracy</li></ul>
Nice to have<ul><li>
Linux debugging and performance tuning</li><li>
Familiarity with orchestration (Kubernetes, Terraform, Ansible)</li><li>
Experience with data pipelines or analytical databases</li><li>
Interest in edge/cloud hybrid architectures</li></ul>
Why this role matters 
You&rsquo;ll help shape how data moves through our system &mdash; building fast, reliable infrastructure that powers every customer interaction.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;70K - &euro;90K</div>

Senior Backend Engineer (m/f/d)

<div>We&rsquo;re looking for a hands-on engineer to own the deployment of our AI edge systems at customer sites. You&rsquo;ll assemble, configure, and install hardware cabinets, networking equipment, and camera systems &mdash; ensuring everything runs smoothly in real industrial environments.
Your Role<ul><li>
Prepare and install full edge setups &mdash; cameras, compute nodes, and networking components</li><li>
Configure devices, test connectivity, and verify data flow from edge to cloud</li><li>
Develop and use automation scripts for faster installation, calibration, and verification</li><li>
Troubleshoot and resolve on-site issues across hardware, network, and software layers</li><li>
Coordinate component sourcing and logistics with the operations team</li><li>
Ensure every installation meets reliability, safety, and performance standards</li></ul>
Your Profile<ul><li>
3+ years in industrial hardware installation, systems integration, or field engineering</li><li>
Strong practical experience with Linux, networking, and device configuration</li><li>
Familiarity with edge computing, camera systems, or IoT deployments</li><li>
Proficiency in Bash or Python for setup automation and diagnostics is a plus!</li><li>
Comfortable working independently on customer sites (domestic &amp; international travel)</li></ul>
Must have a valid driver's license to be able to transport equipment to client site and conduct installations
Expected to occasionally lift 30kg+
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;45K - &euro;58K</div>

Field Installation Engineer (AI Startup)

<div>We&rsquo;re looking for a Research Engineer to push the limits of vision-language models for real-world video understanding. You&rsquo;ll work on applied, state-of-the-art multimodal models and turn them into production pipelines used by customers.<h3 class="jobSectionHeader">
Your role</h3><ul><li>
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition</li><li>
Build and maintain large-scale training and evaluation pipelines on GPU clusters</li><li>
Curate and augment video-text and action datasets, including synthetic labels and retrieval-based augmentation</li><li>
Develop robust benchmarks for video QA, instruction following and temporal understanding, and use them to drive iterative model improvements</li><li>
Cut and refactor model architectures for efficiency and deployability (compression, pruning, distillation)</li><li>
Deliver production-ready inference pipelines to product and customer teams, working closely with CV, platform and robotics engineers</li></ul><h3 class="jobSectionHeader">
You bring</h3><ul><li>
Completed PhD (or equivalent research track record) in computer vision, machine learning, robotics or a related field</li><li>
Strong background in video-centric deep learning: scene understanding, temporal / activity / action recognition, or video generation</li><li>
Experience training and adapting large vision or VLM models (e.g. InternVL, Qwen-VL, DeepSeek-VL, similar stacks)</li><li>
Proven work with multi-GPU training (PyTorch, distributed, mixed precision) and large-scale datasets</li><li>
Solid engineering habits: clean Python, reproducible experiments, reliable data and training pipelines</li><li>
Track record of moving research into usable systems (demos, internal tools, or productised features) in fast-moving teams</li></ul><h3 class="jobSectionHeader">
Nice to have</h3><ul><li>
Publications at top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR, etc.) on video, multimodal learning or scene understanding</li><li>
Experience with 3D/4D scene representations, action generation or embodied / sense-plan-act style projects</li><li>
Inference optimisation: quantisation, TensorRT, model distillation, or deployment on constrained hardware</li><li>
Prior experience in a startup or applied research lab environment</li></ul>
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul></div>

VLM Research Engineer (m/f/d)

Alignerr

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Berlin to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Germany-based)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely in English
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer – Machine Learning (AI Training)

Explore 290+ Freelance data scraping engineer python in Berlin this July. Find roles across top companies and apply now to boost your career.