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Remote Data Annotation Developers
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731 Remote Data Annotation developers and experts available to hire:

Data Annotation developers in India - raviteja P.
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raviteja P.

Vetted Data Annotation developer in India (UTC-7)

Results driven professional with 8 years’ experience in driving critical business outcomes through data driven recommendations and business strategies. Expertise and knowledge of executing business problems using data, developing models using ML and NLP for text data, interpreting results. Experience in using SQL to deep dive into datasets for actionable business insights. Proficient in Python for data collection, data wrangling, data analysis, model development and deployment and Expertise in Data Visualization using Tableau and Looker. Exploring GENAI for practical applications with a focus on leveraging Large Language Models (LLMs) within the AWS Bedrock environment

Data Science • 8 yrsPythonSQLMachine learningNLPRegexMLflowAWSGenerative AILarge Language ModelsQualtricsLookerSnowflakeClassificationTableauDeep LearningPredictive modeling
+10
AWS, Generative AI, Large Language Models, Qualtrics, Looker, Snowflake, Classification, Tableau, Deep Learning, Predictive modeling
Data Annotation developers in India - Vinod K.
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Vinod K.

Vetted Data Annotation developer in India (UTC+6)

Experienced Software Development Engineer with strong expertise in backend system architecture design for distributed systems. Good understanding and exposure to multiple architectural design patterns for designing scalable performant systems. Hands on experience with multiple AWS cloud services. Experienced Big Data Engineer for architecting and designing ETL pipelines for processing large data and delivering valuable insights. Optimizing Spark jobs for faster processing. Strong knowledge and hands on with Microservices with Dockers and Kubernetes.

Data modeling • 3 yrsPythonKubernetesBack-EndDockerApache SparkAWSSQLRESTful APIQuery OptimizationComputer ScienceProgrammingCode ReviewObject-Oriented ProgrammingSystem designSystemsAmazon RedshiftTerraformApache HadoopGrafanaAWS LambdaPyTorchEnterprise softwareDatabricksTechnical ArchitectureLow-Level DesignDistributed Systems DesignSpark optimizationClient Facing technical leadershipRedisPlugin DevelopmentTechnical Support
+25
SQL, RESTful API, Query Optimization, Computer Science, Programming, Code Review, Object-Oriented Programming, System design, Systems, Amazon Redshift, Terraform, Apache Hadoop, Grafana, AWS Lambda, PyTorch, Enterprise software, Databricks, Technical Architecture, Low-Level Design, Distributed Systems Design, Spark optimization, Client Facing technical leadership, Redis, Plugin Development, Technical Support
Data Annotation developers in India - Yash R.
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Yash R.

Vetted Data Annotation developer in India (UTC-7)

Laser focussed on quant research in derivatives market and training state-of-the-art AI models across the globe.

Startup experienceData Science • 4 yrsPythonQuantitative researcherHTML/CSSRJavaScriptSQLAlchemyPostgreSQLNext.jsReactJavaC++ManagementAIFinancial DerivativesGoMachine learningTypeScript
+11
PostgreSQL, Next.js, React, Java, C++, Management, AI, Financial Derivatives, Go, Machine learning, TypeScript
Data Annotation developers developer - Yash R.'s portfolio image
Data Annotation developers developer - Yash R.'s portfolio image
Data Annotation developers in India - Suman D.
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Suman D.

Vetted Data Annotation developer in India (UTC+6)

I am a Senior Data Scientist with over 9 years of experience in leveraging advanced AI, machine learning, and deep learning techniques to solve complex business challenges across industries like banking, retail, manufacturing, and technology. My expertise lies in designing scalable solutions that drive measurable outcomes, optimize processes, and empower organizations to make data-driven decisions. Currently, at JPMorgan Chase & Co., I lead initiatives that have delivered significant business value, including developing an unsupervised payment risk detection model that mitigated fraud risks and saved $24M globally. I also spearheaded the creation of a Retrieval-Augmented Generation (RAG) framework to enhance enterprise-wide information retrieval and knowledge generation. My work on standardizing LLM evaluation frameworks has improved cross-functional collaboration and ensured consistency in model performance metrics. Previously, at Walmart Global Tech India, I contributed to sustainability goals by building multi-model machine learning systems for EV charging station recommendations while driving store revenue growth. I also implemented transformer-based models for product categorization and price standardization. At Tiger Analytics, I developed real-time predictive maintenance systems that saved $50M annually for a global steel manufacturer and improved inventory forecasting accuracy by over 20%. With a strong foundation in programming languages like Python and SQL, libraries such as PyTorch and LangChain, and expertise in cloud platforms like AWS SageMaker and GCP BigQuery, I specialize in cutting-edge technologies like Large Language Models (LLMs), Natural Language Processing (NLP), anomaly detection, and MLOps. My academic projects further showcase my ability to innovate in areas like federated learning for DocVQA, RAG frameworks for better retrieval-generation pipelines, and prompt compression for optimized token utilization. Beyond my professional achievements, I am dedicated to mentoring aspiring AI professionals through Scaler Academy and sharing insights as a tech blogger at KnowledgeHut. My mission is to harness the power of AI to create meaningful impact while fostering growth in the AI community.

Data Annotation DeveloperPythonMachine learningDeep LearningSQLNLPLLMLarge Language ModelsAnomaly DetectionAWS SageMakerPrompt EngineeringRAGGoogle BigQueryOracle SQLTime Series Forecasting
+8
Large Language Models, Anomaly Detection, AWS SageMaker, Prompt Engineering, RAG, Google BigQuery, Oracle SQL, Time Series Forecasting
Data Annotation developers in India - Adnan K.
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Adnan K.

Vetted Data Annotation developer in India (UTC+6)

Data Analyst and Data Scientist with 13+ years of experience, having served 85+ global clients across 20+ countries and completed 100+ projects in retail, logistics, healthcare, finance, and more since transitioning to full-time freelancing in 2022. Known for delivering insights that drive efficiency and strategic decision-making. Skilled in machine learning, data visualization, and advanced analytics tools, with a reputation for building scalable data solutions and combining analytical rigor with client-focused strategies to optimize business outcomes.

Data Science • 5 yrsData analysisData VisualizationData analyticsExploratory Data AnalysisData CleaningData modelingData ValidationMachine learningPythonSQLExcelPython 3TableauPower QueryPower BILookerAlteryx DesignExcel Power QueryStatistical AnalysisPrompt EngineeringUnsupervised LearningTableau serverDeep LearningTableau DesktopRegression modellingMachine Learning Models
+20
Data Validation, Machine learning, Python, SQL, Excel, Python 3, Tableau, Power Query, Power BI, Looker, Alteryx Design, Excel Power Query, Statistical Analysis, Prompt Engineering, Unsupervised Learning, Tableau server, Deep Learning, Tableau Desktop, Regression modelling, Machine Learning Models
Data Annotation developers in India - Akshat S.
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Akshat S.

Vetted Data Annotation developer in India (UTC+6)

I am a Senior Data Scientist with 6+ years of experience in projects involving Gen AI deep learning, user insights, and biometric identification systems. Proficient in Python, TensorFlow, and various cloud platforms. TECHNICAL SKILLS □ Languages: Python (Numpy, Pandas, Jupyter, OpenCV, Scipy, Flask, Fast API, Plotly), SQL/HQL. PySpark □ Deep Learning and ML models: TensorFlow, Keras, PyTorch, fast.ai, LightGBM, XGBoost, Scikit-Learn □ Others: GCP, Azure, Docker, Kubernetes, PySpark, Conda, Git, MLflow, JMeter, Linux Bash

Data Annotation developers in India - Vivek K.
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Vivek K.

Vetted Data Annotation developer in India (UTC+6)

With 7 years of hands-on engineering experience, spearheaded the development of real-time ecommerce backend systems, enhancing user engagement through enterprise-grade solutions; resulted in 20k new orders/day & reduced CAC by 47% for new users. Led & executed tech charter of the ~ 25 backend services in the org by tech simplification resulted in saving ~1000 $ / month with improved MMTD/MMTR.

Data structureSystem designGoAWSSQLSpring BootJavaPython 3SnowflakeApache KafkaDynamoDBRedisTest driven developmentDistributed Systems ArchitectureHTML/CSSJava EEJavaScriptApache SparkOozieHiveQLElastic StackAngular 2
+15
Python 3, Snowflake, Apache Kafka, DynamoDB, Redis, Test driven development, Distributed Systems Architecture, HTML/CSS, Java EE, JavaScript, Apache Spark, Oozie, HiveQL, Elastic Stack, Angular 2
Data Annotation developers in India - Abhishek R.
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Abhishek R.

Vetted Data Annotation developer in India (UTC+6)

I have over 8 years of experience in software development, specializing in Python, Flask, C/C++, microservices, AWS, and database management. I have worked at Microsoft, Intel, and Tetrasoft.

Data MiningData analysisJavaScriptNode.jsPythonSQLMongoDBReactAWSETLERPMicrosoft dynamics 365AI/MLMicrosoft Power PlatformTest AutomationSAS
+9
React, AWS, ETL, ERP, Microsoft dynamics 365, AI/ML, Microsoft Power Platform, Test Automation, SAS
Data Annotation developers in India - Pulkit G.
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Pulkit G.

Vetted Data Annotation developer in India (UTC+6)

Currently working as a Data Engineer, 5.4 years of experience in specializing Data Analysis and Machine Learning. Experienced with all stages of Data Cleaning, preparation along with data visualization. Experienced in Apache Airflow with writing processes in python for data orchestration. Strong background in Python, Regular Expression, Web-scraping, Numpy, Pandas, Matplotlib, T-SQL and PySpark. I have also certified in Aws machine learning and GCP professional data engineer.

Data warehouseData MigrationAgileAmazon RedshiftAirflowSnowflakeSQLETLApache SparkMicrosoft SQL ServerAWSLookerApache AirflowMySQLTableau
+8
ETL, Apache Spark, Microsoft SQL Server, AWS, Looker, Apache Airflow, MySQL, Tableau
Data Annotation developers in India - Harshit V.
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Harshit V.

Vetted Data Annotation developer in India (UTC+6)

I'm a dedicated full-time mentor, consultant and Lead software developer with a track record of over 1000+ sessions since 2016. Having 9 years of programming experience in Python, java, GoLang, AWS, MongoDb, ElasticSearch, telethon and many more technologies. I'm passionate about problem-solving and navigating intricate code bases. I love working with: ⭐ Python ⭐ Java ⭐ Spring ⭐ NodeJS ⭐ AWS ⭐ SQL ⭐ MongoDB ⭐ ElasticSearch ⭐ React ⭐ GoLang WHAT SEPARATES ME FROM OTHERS? * Strong and clear communication * Availability at all times * 100% refund incase of non satisfactory session Achievements: * 1000+ Sessions * All 5 star rating

Data Science • 6 yrsData analytics • 6 yrsData structure • 6 yrsSpring BootPythonJavaGitHubCacheGoogle Cloud PlatformDockerNLPMachine learningDeep LearningAWSJenkinsCPandasC++ConsultingSQLMongoDBKubernetesAmazon RedshiftRabbitMQWeb DevelopmentMERN StackNode.jsElasticsearchKotlinGoLarge Language ModelsLeadershipMentoringPython 3
+27
Cache, Google Cloud Platform, Docker, NLP, Machine learning, Deep Learning, AWS, Jenkins, C, Pandas, C++, Consulting, SQL, MongoDB, Kubernetes, Amazon Redshift, RabbitMQ, Web Development, MERN Stack, Node.js, Elasticsearch, Kotlin, Go, Large Language Models, Leadership, Mentoring, Python 3

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Why clients hire Data Annotation developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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Data Annotation developers
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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 engineers, 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 developers 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 developers 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 developers 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 developers.

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 developers 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 developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Data Annotation developer?

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 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 developers 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 developers, 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 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. 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 developer 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 Data Annotation developer's 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 developer in 72 hours, or find a full-time Data Annotation developer 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 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.

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