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Vetted Data Annotation developer in Costa Rica (UTC-6)
Fullstack Developer | Software Architect | Tech Speaker | Forbes business promises of LATAM I am a Full-stack Software Developer and Architect with 15 years of experience in the software development industry. I am passionate about launching products and the full life cycle of software development, and I specialize in creating products from scratch. As an expert in helping small companies and startups, I have worked tirelessly to help my clients achieve their goals. I am a hard worker, honest, and responsible, which has helped me earn my clients' and colleagues' trust and respect. As a passionate and dedicated software developer, I'm always looking for ways to stay up-to-date with emerging technologies and trends. I have a proven track record of solving complex problems and translating technical requirements into actionable plans, delivering scalable and robust solutions that meet client needs and exceed expectations. I have collaborated with design firms, software studios, and digital agencies, which has allowed me to gain extensive experience in the field. With a wide range of technical skills, including expertise in Nodejs, NextJS, React, Angular, PHP, Python, Java, AI, ChatGPT, Crypto NFT, and Smart Contracts, I am well-equipped to handle any software development project. I am also experienced in managing teams and potentiating people skills, which creates a positive and productive work environment. As a software developer, I have worked in various industries, including fintech, education, and entertainment. I am an expert in API Restful, third-party integration, and data manipulation, which allows me to add more value than just code to the projects I work on. If you are looking for a cooperative, highly skilled, and experienced Full-stack Software Developer and Architect for your next project, I would be delighted to be your go-to person. Let's discuss how my skills and experience can help you take your projects to the next level.
Data Annotation developer in the United States (UTC-8)
I'm a Machine Learning Engineer with 3 years of experience. I’ve built data pipelines, optimized databases, built and deploy ML models. I enjoy taking impactful initiatives, like reviewing the team's cloud usage and cut cost by 40%. I’m all about solving problems and building practical solutions.
Data Annotation developer in Canada (UTC-5)
After 15 years as a cinematographer, director, and producer in the film industry, I transitioned into web development in 2022. My experience in leading creative projects and managing complex productions has provided me with a strong foundation for front-end development. I enjoy building web applications that align with my personal interests or serve a specific purpose, allowing me to explore new ideas and technologies. Currently expanding my technical foundation through Harvard’s CS50 course, I’m eager to continue growing as a developer and contribute to a collaborative team in a junior role.
Data Annotation developer in Canada (UTC-4)
Hans is a Vancouver-based software developer currently working on a mobile app with a start-up, leveraging TypeScript, React Native, Expo Go, Adonis JS, and Postman for testing. He is proficient in building and consuming REST APIs, with expertise in web and mobile development, particularly using technologies like React, NodeJS, Ruby on Rails, and Python. Hans holds a Diploma in Computer Programming and has been recognized with the RISE Award and a Certificate in Generative AI Essentials.
Data Annotation developer in Bangladesh (UTC+6)
👨💻 IT Engineer & Multi-Talented Freelancer 🌟 🔹 Welcome to my digital world! 🔹 🚀 About Me: 🌐 IT Engineer | 💼 Freelancer | 📚 Content Creator 👋 Greetings! I'm Tahsin Khan, a dynamic IT engineer who thrives on versatility and embraces the ever-evolving world of technology. With a diverse skill set and a passion for solving complex problems, I'm your go-to professional for a wide range of tasks. 💡 My Expertise: 1️⃣ IT Engineering: From coding to system administration, I'm your tech-savvy problem solver. With proficiency in C# and JavaScript, I craft innovative solutions that elevate your digital presence. 2️⃣ Network Engineer: I architect and optimize digital highways, ensuring seamless connectivity and data flow. 3️⃣ Virtual Assistant: I've been the right-hand person for numerous professionals and businesses, providing top-notch virtual support and organizational wizardry. 4️⃣ Transcriptionist & Data Entry Pro: I have an eagle eye for detail, ensuring your data is meticulously organized and your audio transformed into precise text. 5️⃣ Medical Specialist: With a background as an assistant physician, I bring a unique blend of medical knowledge and technical skills to healthcare projects. 6️⃣ Assistant Psychologist: I'm passionate about mental health and have experience in assisting psychologists, making a positive impact on individuals' well-being. 7️⃣ Content & Poetry Writer: Words are my canvas, and I paint stories, articles, and poems that captivate and inspire. 8️⃣ Translator: I bridge language barriers, transforming ideas from one culture to another with precision and cultural sensitivity. 🌟 Why Choose Me: ✅ Adaptable: I thrive in diverse roles, ensuring I can meet your unique needs. ✅ Detail-Oriented: My commitment to perfection guarantees high-quality results. ✅ Tech-Driven: I keep up with the latest trends and tools to stay ahead in the digital landscape. ✅ Creative Flair: My creative side enhances your content and projects, making them stand out. 📩 Let's Collaborate: Ready to embark on a journey of innovation and efficiency? I'm just a message away! Whether you need IT solutions, virtual assistance, content creation, or anything in between, let's connect and make your vision a reality. 📧 Contact me at tahsinkhanabc@gmail.com 🌐 \[www.linkedin.com/in/tahsin-khan-himel\] 🌍 Location: Dhaka, Bangladesh 🤝 Let's bring your projects to life and make a difference together!
Vetted Data Annotation developer in Germany (UTC+2)
Architect with experience of 8+ years in Frontend +Backend+big data I Have worked across various domains in my career did freelancing as well as worked for top product based companies I have expertise in payment, Ecommerce, Banking domain as well as i have knowledge of building enterprise web application and Windows , Linux native applications which can scale at high level I am java certified professional and I am having below mentioned certificates • Java Certified- Oracle certified java developer • Web component certified -Oracle Certified Web Component developer • Certified Spring boot and Aws architect. My experience is vastly distributed across technologies, such as: • Backend Solutions System Designing ,Complex application designs ,Data structure and algorithm,Architecturing Test Driven development,Team management,Windows native application,Web Applications • Tools and Tech: Language: Java ,Golang, Kotlin , Python ,Typescript,Javascript,Ruby Data base: Cassandra, Mongo-Db,Postgresql,CouchBase,MySql,Oracle,Sql and Plsql Caching: Redis,MemCache, Framework: Hibernate,Spring Jpa, Spring boot,React-Go,Dynamo-Db,Spring-Cloud,Spring-Mvc CI/CD: Jenkins, Aws-Codecommit, BitBucket, AzureDevops, Continuous Delivery Cloud: Aws and Azure Messaging-Queue: Kafka,Aws-msk,Azure-EventHub Architecture: Microservices,EventDriven,Monolithic,Windows native application Have knowledge of concurrency and event driven systems . • Front End Technologies JavaScript, jQuery, Angular 2, Typescript,React ,Es6,npm,web pack, grunt • Hadoop Ecosystems Spark, scala, hdfs ,Mapreduce,Hadoop,scoop,hive,
Microsoft
Vetted Data Annotation developer in the United States (UTC-4)
8+ years Data Engineering experience at Google/Amazon/Twitter. Technical skills: Python programming (OOP and functional), SQL, Spark (PySpark) and Tableau. Well experienced with the AWS stack (Redshift, PostgreSQL/RDS, DynamoDB, Athena, EMR, Glue, Kinesis, SQS, S3, EC2) and GCP stack (BigQuery etc) for analytics, batch and real time data pipelines, orchestration (Airflow) and data visualisations. Data Science and Machine Learning expertise (model building, analytics). US based, UK native, open to working with international clients.
Google
Vetted Data Annotation developer in the United States (UTC-5)
Software Engineer with 3+ years of experience in full-stack development, web design, and data science. Proven ability to design and implement complex software systems using multiple programming languages and frameworks.
Wayfair
Vetted Data Annotation developer in the United States (UTC-5)
I am an ex-Coinbase data analyst and growth marketing manager with deep experience building growth loops and models for both startups and public companies based on product/customer data. I also have led growth marketing at Teal and Examine.com and have grown revenue by debugging AARRR funnels, bridging both technical and qualitative aspects of marketing analytics and strategy. The startup world has always been a fun and exciting stage for me, and I hope to find ambitious founders to consult for and help them overcome their product and marketing blockers to reach the next stage of profitable growth. With expertise in SQL, JavaScript, Python, and more, and comfort setting up Meta pixels and conversion API, I act as a single expert deploying code, analyzing funnels, and building data reports and post-mortems for marketing campaigns.
Walmart
Vetted Data Annotation developer in the United States (UTC-5)
I have extensive experience in datastores and data pipelines; nearly 15 yr of work that included such. I also have worked on bigdata systems, where we ingested, minimally, more than 200 GB per day. I also have extensive experience in data, including personalization and financial data warehousing. These kinds of targeting systems designs can become a revenue engine for many kinds of business models. My AI work to date as dealt with data prep, cleaning, structuring and segmenting/classifying, with prediction, recommendation, pricing, and retraining. Applications included lead source QC, price/value prediction, and matching. Other applications included regression modeling for attentional measures and content. Other platform services included feature extraction (structuring) and data rollups with lineage. I’ve done this with financial accounts at MyBankTracker, where I built engines for pricing and personalization, as well as our own CDP / CIP, ad network and fingerprinting/unmasking platform. This was done with student loans, with Barker and LendKey. I expanded to brokerage and other instruments at Investopedia - where I drove the data architecture of an immersive personal-narrative experience. I also developed large data warehousing and CDP modeling at Even Financial. Triple Point Liquidity involved such data in the form of KYC, and was transited via blockchain, compiling indexing time-series in private equity. Suvie is an IoT company with personalization and e-commerce, consolidating a data warehouse that draws in realtime from more than 12 primary sources.
Facebook
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FAQs
Why hire a Data Annotation developer?
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 a Data Annotation 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 Data Annotation developers can help keep your website up-to-date.
How do I hire Data Annotation developers?
To hire a Data Annotation 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 Data Annotation developers effectively and efficiently. Hire full-time Data Annotation 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 Data Annotation 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 Data Annotation 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 Data Annotation developer for your company, and let Arc handle the logistics.
Where do I hire the best remote Data Annotation developers?
There are two types of platforms you can hire Data Annotation 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 Data Annotation 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 Data Annotation developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Annotation developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Annotation developer candidates.
Some factors to consider when you hire Data Annotation 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 Data Annotation developers for hire.
How do I write a Data Annotation developer job description?
Writing a good Data Annotation developer job description is crucial in helping you hire Data Annotation 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 Data Annotation 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 Data Annotation programmers, read our Software Engineer Job Description Guide & Templates.
What skills should I look for in a Data Annotation engineer?
The top five technical skills Data Annotation 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 Data Annotation 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 Data Annotation developers to keep up with evolving technology and requirements.
What kinds of Data Annotation programmers are available for hire through Arc?
You can find a variety of Data Annotation developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data Annotation programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Annotation 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 Data Annotation developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Why is Arc the best choice for hiring Data Annotation developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data Annotation developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Data Annotation developers.
Every Data Annotation 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 Data Annotation 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 Data Annotation 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.
How does Arc vet a developer’s Data Annotation skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data Annotation 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 Data Annotation 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 Data Annotation developers, you can rest assured that all remote Data Annotation developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
How long does it take to find Data Annotation developers on Arc?
Arc pre-screens all of our remote Data Annotation developers before we present them to you. As such, all the remote Data Annotation 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 Data Annotation programmer in 72 hours, or find a full-time Data Annotation 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 Data Annotation developers.
How much does a freelance Data Annotation developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Data Annotation developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Annotation 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 Data Annotation 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.
How much does it cost to hire a full time Data Annotation developer?
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 Data Annotation 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 Data Annotation developers, check out our FAQs page.