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Data Labeler Remote information

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail and basic technical skills. While it can provide a stepping stone into tech-related fields, it may have limited advancement opportunities without additional skills or certifications.

What are the key skills and qualifications needed to thrive as a remote data labeler?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How much do data labelers get paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses, and familiarity with labeling tools can improve earning potential.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

What are the most commonly searched types of Data Labeler jobs in Massachusetts?

The most popular types of Data Labeler jobs in Massachusetts are:

What are popular job titles related to Data Labeler Remote jobs in Massachusetts?

For Data Labeler Remote jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Labeler Remote jobs in Massachusetts look for?

The top searched job categories for Data Labeler Remote jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Labeler Remote jobs?

Cities in Massachusetts with the most Data Labeler Remote job openings:

Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Massachusetts as of August 2026, with employment types broken down into 58% Full Time, 28% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Senior Director, Clinical Pharmacology

Centessa Pharmaceuticals, a wholly owned subsidiary of Eli Lilly and Company

Boston, MA • On-site, Remote

$195K - $275K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Description of Role

Centessa is seeking an experienced Senior Director, Clinical Pharmacology (translational) to provide scientific and strategic leadership for translational clinical pharmacology across a diverse pipeline spanning early development through latestage and registrational programs. Reporting to the Executive Director, Clinical Pharmacology, this position is accountable for developing and executing clinical pharmacology strategies that address the unique challenges of neuroscience drug development, including CNS exposure, dose optimization, and translational relevance. The Senior Director partners closely with crossfunctional teams, and cross-program teams to achieve broader translational understanding of our assets, and application of that knowledge to development programs. Additionally, they will represent clinical pharmacology in regulatory interactions to enable efficient, datadriven advancement of therapies across our neuroscience portfolio. 

Key Responsibilities

  • Lead strategy for collection and interpretation of information across in vitro, in vivo, literature of competitive sources, and clinical data to develop a translational knowledge base to Centessa assets  
  • Drive dose selection and optimization by integrating PK, PD, safety, efficacy, and CNSspecific biomarkers  
  • Lead modelinformed drug development, including population PK, PK/PD, and exposure-response analyses relevant to CNS targets and clinical safety 
  • Assess and guide strategies for CNS exposure, brain penetration, target engagement, and translational biomarkers  
  • Lead clinical pharmacology strategy for CNS and neuroscience programs from firstinhuman through registrational and postmarketing stages  
  • Design, execute, and interpret clinical pharmacology studies, including FIH, multipleascending dose, DDI, biopharmaceutics, and patient studies  
  • Serve as the clinical pharmacology lead on program teams, clinical subteams, and trial working groups  
  • Author and oversee clinical pharmacology sections of regulatory documents (e.g., INDs, CTAs, IBs, NDAs)  
  • Represent clinical pharmacology in interactions with FDA and other global health authorities, supporting dose justification and labeling discussions  
  • Partner closely with DMPK, Translational Sciences, Clinical Development, Biomarkers, Biostatistics, CMC, and Regulatory Affairs  
  • Oversee CROs and external vendors conducting clinical pharmacology and modeling activities  
  • Ensure timely communication and clear interpretation of clinical pharmacology results to internal stakeholders  
  • Contribute to portfolio strategy, program prioritization, risk mitigation, and longrange clinical development planning for CNS assets  
  • Serve as a subjectmatter expert on clinical pharmacology  
  • Mentor and develop clinical pharmacology talent as the pipeline and organization grow  
  • Ensure highquality, submissionready documentation aligned with global regulatory standards 

Qualifications

  • PhD, PharmD, or MD in Clinical Pharmacology, Pharmacokinetics, Pharmaceutical Sciences, or a related discipline  
  • 8-12+ years of experience in clinical pharmacology within biopharma, with demonstrated impact in translational science in drug development  
  • Strong expertise in PK, PD, PK/PD integration, exposure-response analyses, and drug-drug interaction assessment  
  • Extensive experience developing and executing clinical pharmacology strategies for early through latestage programs, including registrational support  
  • Demonstrated experience applying quantitative clinical pharmacology and translational approaches (e.g., population PK, mechanistic PK/PD modeling) to inform CNS dose selection and optimization  
  • Proficiency with clinical pharmacology tools and platforms such as NONMEM, R, Phoenix WinNonlin, SimCyp, or equivalent  
  • Experience authoring and delivering clinical pharmacology components of regulatory submissions (e.g., INDs, CTAs, NDAs) and interacting with global health authorities  
  • Strong understanding of translational PK, CNS exposure considerations, and biomarker integration in neuroscience drug development  
  • Excellent communication, collaboration, and leadership skills with the ability to operate effectively in a fastpaced, matrixed environment 

Compensation

The annual base salary range for this position is $195,000 to $275,000.00. Individual compensation within this range will be determined based on a variety of factors, including qualifications, skills, relevant experience, job knowledge and location.

In addition to base pay, this role is eligible for a discretionary annual bonus. The Company  also offers a comprehensive benefits package, which includes a 401(k) plan, company-sponsored medical, dental, vision, and life insurance, generous paid time off, and a health and wellness program.

Work Location

The Senior Director, Clinical Pharmacology role is remote based, with occasional travel.

POSITION: Full-Time, Exempt

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