Arc helps you find and hire top freelance AI Labeling engineers for your jobs. With 1,946 AI Labeling programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance AI Labeling developers and experts that you can trust.
AI Labeling developer in the United States (UTC-5)
Driven QA testing professional with over 4 years of experience in both automation and manual testing. Skilled at developing and executing test plans to deliver robust coverage for web, mobile, and desktop applications. Knowledgeable in QA best practices and motivated to expand expertise in emerging tools and technologies like AI for enhanced test automation. Collaborative team player able to work cross-functionally in fast-paced Agile environments.
Vetted AI Labeling developer in the United States (UTC-6)
I am a collaborative, fun, gregarious, and little-to-no-ego, hands-on true full stack software engineer (front, back, devops, and observability). I am an empathetic, friendly, creative, and pragmatic problem-solver with proven abilities to thrive in a fast-paced, technically challenging environment. My robust business background gives me the ability to provide mature analysis to current problems.
Vetted AI Labeling developer in Germany (UTC+2)
I have a background in theoretical physics and have worked on machine learning and data science-related topics since 2016. Since then, I have published multiple peer-reviewed papers on machine learning as part of the autonomous driving unit at Mercedes Benz AG and worked as a data science consultant/developer for DAX-listed companies. Others would describe me as creative in my thinking, excelling at finding new ways to tackle problems. I love intellectual challenges that keep me engaged and thrive in cooperative working environments. I am a very self-directed person who can quickly identify what needs to be done and act accordingly. On top of that, my strengths are communicating complex ideas at an appropriate level and holding engaging presentations.
AI Labeling developer in Brazil (UTC-3)
Computer Vision and Machine Learning Engineer with almost 5 years of experience, specialized in developing innovative solutions and optimize process through computer vision. My background includes geospatial data science, applying image processing and machine learning techniques for remote sensing aplications. Additionally, I have knowledge of embedded systems, enabling me to deploy computer vision solutions at the edge. I've contributed on projects involving all the machine learning engineering workflow, from data collection and model training to deployment in production environments. Highlighted Expertises: \- Data Science \- Geospatial Data Science \- Data Engineering \- Machine Learning (ML) \- Artificial Intelligence (AI) \- Computer Vision (CV) \- Remote Sensing \- Image Processing \- Geographic Information System (GIS) \- Embedded Systems \- Python Programming \- C++ Programming \- Java Programming \- Object-Oriented Programming (OOP) Hands-on expertise: \- Frameworks/applications: Tensorflow, Keras, NumPy, Pandas, GeoPandas, OpenCV, scikit-image, Python Imageing Library, scikit-learn, Matplotlib, QGIS, Jupyter-Notebook, Git, VS-Code, Qt Creator, PyQt, Android Studio, Jira, Kanban, Flask, PyTorch. \- Cloud: Google Cloud Professional Data Engineer Certified, AWS. \- Artificial Inteligence and Machine Learning: Deep Learning, Feature Engineering, Regression, Classification, Object Detection, Convolution Neural Network, YOLO, VGG. \- Drones and UAV related: DJI Mavic Air, DJI Matrice - M210. DJI Mobile SDK, Onboard SDK and UX SDK. \- Languages: Python, C++, Java, C. \- Single-board-computers and embedded systems related: Nvidia Jetson Nano, Raspberry Pi, BeagleBone, Intel Neural Computer Stick.
AI Labeling developer in Egypt (UTC+3)
I have a Bachelor's degree in Business Administration and experience in data labeling. I am currently working as Data Annotator at Micro Engineering Company in Cairo . I have 1 year & 2 months of experience in this position. In this position I am responsible for identifying and labeling objects by using Lidar Box Labeling, Image Segmentation, Image Box Labeling , Ultra Near Field , Audio Labeling , Maximum Range , Audio Labeling , Puddle Segmentation, Lane Closed Zone, Construction Cone Zone, Virtual Lane Zone and Ultra Near Field Rhino Labeling.
AI Labeling developer in Benin (UTC+2)
I am a skilled professional in marketing-sales, customer relations, and content creation. Experienced in customer support, advertising, copywriting, digital marketing, and translation. Proficient in various office tools and AI evaluation.
AI Labeling developer in Nigeria (UTC+1)
Accomplished chemical engineer and Python data scientist, dedicated to delivering impactful results. Proficient in data manipulation, visualization, and statistical modelling, leveraging advanced tools like pandas, NumPy, matplotlib, seaborn, SQL, Microsoft Power BI, Looker's studio, Machine learning, Django, Microsoft Automate Power, Microsoft Power App, SharePoint lists, and Spreadsheets.Adept at translating complex data into actionable insights.
Vetted AI Labeling developer in Taiwan (UTC+8)
I bring over 17+ years of experience in software architecture, design, and development, specializing in cloud computing, rapid prototyping, machine learning, and generative AI. I’ve built and scaled robust desktop, web, and mobile applications for a variety of industries. In my recent work, I’ve been focused on driving AI-powered solutions for communication and collaboration. Previously, I contributed to the development of the next-gen Adobe Express platform as a software architect at Adobe. I also led transformative projects at Autodesk, where I helped innovate on the Autodesk Forge platform and Tinkercad. I’m an expert in Python, Node.js, C++, 3D / Computer Grahics and AWS services, with deep experience in developing scalable, high-performance applications.
Vetted AI Labeling developer in Brazil (UTC-3)
I'm an Engineer, with a background in Artificial Intelligence, and I've always sought to use technology to solve problems. In my Master's, my study focused on Artificial Neural Networks, and I've published scientific articles and produced a dissertation on the subject. In the last four years, I've dedicated myself to studying Data Science (Python, ML, SQL, Spark). I'm responsible and a team worker. During my career, I've taken on several managerial roles, having even led remote teams. I know how to work with other people and try to treat everyone with respect and courtesy. I'm always open to hearing suggestions, criticisms, and other perspectives. I have just finished the Data Science Bootcamp with the french school Le Wagon. It was an amazing experience and I was able to further consolidate my skills in Data Science: statistics and probability, SQL, Python (Pandas, Numpy, Sklearn, PyTorch, Tensorflow/Keras), NLP, MLOPs basics (Google Cloud). I am searching for new challenges and experiences, and I believe I can make valuable contributions.
Vetted AI Labeling developer in Brazil (UTC-3)
Hi! My name is Fabiano Yoschitaki and I'm a software engineer graduated with a bachelor's degree in Computer Science and a MBA in Software Engineering. I'm passionate about solving problems and learning new things each and every day. There's no better place than coding to achieve both things. I consider myself a very committed doer, collaborative and flexible person and love to work with people who push themselves to their best, no comfort zone. I have the most expertise in web development as a backend engineer using Java ecosystem to build microservices. Currently I'm also developing and gathering experience with Golang.
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Get startedArc helps you build your team with our network of full-time and freelance software developers worldwide, spanning 190 countries.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire an AI Labeling developer, multiple developers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote AI Labeling developers can help keep your website up-to-date.
To hire an AI Labeling developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire AI Labeling developers effectively and efficiently. Hire full-time AI Labeling developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance AI Labeling engineers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted AI Labeling developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right AI Labeling developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire AI Labeling programmers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find AI Labeling developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote AI Labeling developers, consider niche platforms like Arc that naturally attract and carefully vet their AI Labeling developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote AI Labeling developer candidates.
Some factors to consider when you hire AI Labeling developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find AI Labeling developers for hire.
Writing a good AI Labeling developer job description is crucial in helping you hire AI Labeling programmers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote AI Labeling developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire AI Labeling programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills AI Labeling developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable AI Labeling developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for AI Labeling developers to keep up with evolving technology and requirements.
You can find a variety of AI Labeling developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance AI Labeling programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote AI Labeling developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready AI Labeling developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled AI Labeling developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire AI Labeling developers.
Every AI Labeling developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in AI Labeling and breadth across the greater domain). Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified AI Labeling engineer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted AI Labeling developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified AI Labeling developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire AI Labeling developers, you can rest assured that all remote AI Labeling developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote AI Labeling developers before we present them to you. As such, all the remote AI Labeling developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance AI Labeling programmer in 72 hours, or find a full-time AI Labeling programmer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote AI Labeling developers.
Depending on the freelance developer job board you use, freelance remote AI Labeling developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find AI Labeling developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire AI Labeling developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote AI Labeling developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring AI Labeling developers, check out our FAQs page.