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Remote Data Annotation Jobs in Chelsea, MA (NOW HIRING)

Account Executive Remote, US Sales Full Time $120,000 - $160,000 At Quickbase, we're on a mission ... data collection tool with features like image capture with annotation, pdf generation, and ...

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Remote Data Annotation information

What is a Remote Data Annotation job?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What are the key skills and qualifications needed to thrive in the Remote Data Annotation position, and why are they important?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What are the typical daily tasks for someone working in Remote Data Annotation?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.
What job categories do people searching Remote Data Annotation jobs in Chelsea, MA look for? The top searched job categories for Remote Data Annotation jobs in Chelsea, MA are:
What cities near Chelsea, MA are hiring for Remote Data Annotation jobs? Cities near Chelsea, MA with the most Remote Data Annotation job openings:

Senior Bioinformatics Software Engineer

Big Resourcing

Boston, MA • On-site, Remote

$133.10K - $175.40K/yr

Full-time

Posted yesterday


Job description

BigRio is a remote-based, technology consulting firm with headquarters in Boston, MA. We deliver software solutions ranging from custom development and software implementation to data analytics and machine learning/AI integrations. As a one-stop shop, we attract clients from a variety of industries due to our proven ability to deliver cutting‐edge, cost‐effective software solutions.

Position Summary The Senior Bioinformatics (BI) Software Engineer plays a critical technical role in the design, development, and maintenance of scalable and efficient software solutions for bioinformatics pipelines. This position requires close collaboration with cross‐functional teams to deliver data‐driven software solutions that align with business objectives. Key Responsibilities BI Development: Build and maintain reliable software solutions using diverse technologies and databases to meet business requirements.

Data Modeling: Develop and refine data models to ensure computational algorithm performance and integrity, particularly in areas like genome assembly, mapping, variant calling, and annotation. ETL Processes: Design and enhance ETL processes to extract, transform, and load data efficiently, often through API‐based integrations. Query Optimization: Optimize SQL queries and database performance.

Participate in schema design and review processes to maintain high performance and scalability. Dashboard & Report Creation: Create interactive dashboards and automated reports using tools like Azure Pipelines, Power Automate, and Nextflow to support data‐driven decision‐making. Collaboration: Work closely with stakeholders, such as analysts, clinicians, lab staff, and developers, to understand needs and deliver timely software solutions.

Data Integration: Integrate diverse data sources, ensuring accuracy and reliability while minimizing code debt and maintaining system flexibility. Quality Assurance: Perform rigorous testing and automate test suites (e.g., with pytest, doctest, Azure Pipelines) to ensure software quality and stability. Documentation & Maintenance: Produce clear, comprehensive documentation including inline code comments, wikis, READMEs, and trace mappings to ensure ease of use and maintainability.

Education: Bachelor's degree in Computer Science, Software Engineering, Bioinformatics, or related field (Master's preferred). Experience: Minimum of 5 years in software development, with experience designing and implementing scalable, production‐ready software solutions. Experience working with lab scientists, computational biologists, or clinical professionals is a plus.

Technical Skills Proficient in at least two programming languages (Python, Perl, R, or Bash preferred; Java, C++, Groovy also acceptable). Strong background in database systems such as SQL Server, NoSQL, MongoDB, MySQL, or ElasticSearch. Agile development experience with Git and CI/CD implementation.

Knowledge of Azure is a plus. Comfortable with object‐oriented programming and software architecture design best practices. Skilled in writing well‐tested, maintainable, production‐ready code with a strong focus on unit and integration testing.

Exceptional at writing documentation and translating scientific concepts into accessible code annotations or supporting documentation. Experience designing and building APIs and microservices from scratch. Familiarity with Linux and HPC environments (e.g., SLURM, Kubernetes, GCP, Azure) is beneficial.

Knowledge of package managers (PIP, Conda) and containerization tools (Docker, Singularity). Exposure to workflow management/orchestration tools (e.g., Nextflow, Airflow, Snakemake) is a plus. Excellent analytical thinking with the ability to translate complex problems into clear technical solutions and communicate them effectively.

Strong team player with excellent communication skills, open to feedback, and focused on collaborative problem‐solving. Flexible and adaptable, with a proactive approach to learning new technologies and implementing best practices in software development. Capable of independently managing project timelines and communicating effectively through changing project scopes.

Equal Opportunity Statement BigRio is an equal‐opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time.

All qualified applicants will receive equal consideration for employment. BigRio is a leading AI, Gen AI, Data and Analytics professional services company. We are focused on Healthcare, Pharma, Digital Health, Provider, and Payer Industry segments with several innovative solutions.

Harvard Square, One Mifflin Place Suite 400 Cambridge, MA 02138 #J-18808-Ljbffr