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Contract Data Annotation Jobs in Randolph, MA (NOW HIRING)

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Contract Data Annotation information

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

What is a contract data annotation?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

What are the key skills and qualifications needed to thrive as a contract data annotation specialist?

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
What are the most commonly searched types of Data Annotation jobs in Randolph, MA? The most popular types of Data Annotation jobs in Randolph, MA are:
What job categories do people searching Contract Data Annotation jobs in Randolph, MA look for? The top searched job categories for Contract Data Annotation jobs in Randolph, MA are:
What cities near Randolph, MA are hiring for Contract Data Annotation jobs? Cities near Randolph, MA with the most Contract Data Annotation job openings:
Contract Data Annotation jobs near you

Data Scientist Contractor, Computational Biology

CAMP4 Therapeutics

Cambridge, MA • On-site

$65K - $65K/yr

Full-time

Re-posted 14 days ago

Job description

Job Summary:
CAMP4 Therapeutics is seeking a Data Science Contractor for a 6-month temporary contract assignment, specializing in Computational Biology. The role focuses on processing, analyzing, visualizing, and interpreting next-generation sequencing datasets to support drug discovery programs and advance understanding of disease mechanisms.
Responsibilities:
• Process, analyze, visualize, and interpret next-generation sequencing (NGS) datasets, with an emphasis on bulk RNA-seq, scRNAseq, and long-read RNA sequencing, including Nanopore and PacBio sequencing data.
• Execute bioinformatics analyses according to predefined analysis plans, including quality control, alignment, quantification, differential expression analysis, isoform/transcript analysis, splicing analysis, and integrative interpretation of results.
• Collaborate closely with cross-functional teams, including experimental biologists, computational scientists, and project teams, to develop, refine, and execute research plans.
• Provide clear biological interpretation and scientific context for computational results to support target discovery, validation, and mechanistic understanding.
• Evaluate, implement, and apply new bioinformatics methods, tools, and emerging technologies relevant to transcriptomics, long-read sequencing, and functional genomics.
• Develop scripts, workflows, and software tools where gaps exist to enable reproducible and scalable data analysis.
• Provide conceptual input into analysis plans, including analytical strategy, study design, prioritization, and interpretation of key results.
• Participate in cross-functional discussions to refine project goals, identify key priorities, and communicate findings effectively to both computational and experimental scientists.
• Demonstrate strong ownership, attention to detail, and a sense of urgency in delivering high-quality analyses that support the discovery of breakthrough medicines for patients.
Qualifications:
Required:
• PhD in Bioinformatics, Computational Biology, Systems Biology, or a related field with 3+ years of relevant industry or postdoctoral experience.
• Strong hands-on experience analyzing NGS datasets, especially RNA-seq, scRNAseq, and long-read sequencing data from Nanopore and/or PacBio platforms.
• Solid background in statistics and strong programming skills in Python and/or R.
• Experience working in a Linux environment and using high-performance computing clusters and/or cloud computing platforms such as AWS.
• Familiarity with human genome annotation resources, biological pathway databases, and systems biology concepts.
• Strong commitment to reproducible research, best practices in software development, documentation, and version control.
• Excellent collaboration and communication skills, with the ability to explain computational results clearly to experimental scientists and cross-functional teams.
• Strong attention to detail, high professional integrity, and commitment to excellence in execution.
• Creative and solution-oriented with the ability to develop fit-for-purpose approaches for diverse data and project needs.
• Passionate about applying computational biology and genomics to translate fundamental scientific discoveries into medicines that improve patients’ lives.
Preferred:
• Familiarity with long-read sequencing tools and workflows for transcript discovery, isoform characterization, or full-length transcript analysis is highly desirable.
• Experience with additional functional genomics datasets, such as ATAC-seq, ChIP-seq, and PRO-seq.
Company:
CAMP4 Therapeutics is a biotechnology company that uses RNA to restore healthy gene expression. Founded in 2016, the company is headquartered in Cambridge, USA, with a team of 11-50 employees. The company is currently Early Stage.

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