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Remote Data Acquisition Jobs (NOW HIRING)

Data Architect (Intermediate)

$65.25 - $84/hr

Remote Work Hours: Monday through Friday, twenty (20) hours per week. Position General Summary ... Responsible for business analysis, data acquisition and access analysis and design, Database ...

This is a full-time, fully remote position open to candidates located within the Continental United ... input data acquisition, programming techniques, and controls. May build add-on modules using ...

NTT DATA is seeking a Medicaid Acquisition Analyst to support the State of Illinois in its ... The starting pay range for this remote role is $71,040 - $136,560. This range reflects the minimum ...

Medicaid Acquisition Analyst

Chicago, IL · On-site +1

$71K - $136K/yr

NTT DATA is seeking a Medicaid Acquisition Analyst to support the State of Illinois in its ... The starting pay range for this remote role is $71,040 - $136,560. This range reflects the minimum ...

Medicaid Acquisition Analyst

Chicago, IL · On-site +1

$71K - $136K/yr

NTT DATA is seeking a Medicaid Acquisition Analyst to support the State of Illinois in its ... The starting pay range for this remote role is $71,040 - $136,560. This range reflects the minimum ...

Overview The Remote Sensing Technician (RST) acquires airborne and Geodetic ground survey data. The ... Collect, download, and ship gathered geospatial data daily after acquisition. * Complete extensive ...

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Remote Data Acquisition information

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$46K

$165K

$243.5K

How much do remote data acquisition jobs pay per year?

As of Jul 7, 2026, the average yearly pay for remote data acquisition in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a data acquisition job?

A data acquisition job involves collecting, measuring, and recording data from various sources for analysis or research purposes. It often requires skills in using specialized tools or software, attention to detail, and understanding of data quality standards. These roles can be found in industries like engineering, science, and technology, and may require familiarity with data collection protocols and basic technical skills.

Are remote data entry jobs legitimate?

Remote data entry jobs are legitimate opportunities that involve inputting information into digital systems, often requiring basic computer skills and attention to detail. However, job seekers should verify the employer's credibility and be cautious of scams that request upfront payments or personal information. Conducting research and using reputable job platforms can help identify genuine positions.

What are remote data acquisition jobs?

Remote data acquisition jobs involve collecting, monitoring, and analyzing data from various sources without being physically present on-site. Professionals in this field use specialized software, devices, and communication networks to access real-time or stored data from remote locations. These roles are common in industries like environmental monitoring, energy, manufacturing, and IT, where sensors or systems transmit data to centralized platforms. Responsibilities often include configuring data acquisition systems, ensuring data quality, troubleshooting connectivity issues, and reporting findings to stakeholders.

What are some common challenges faced by professionals in remote data acquisition roles, and how can they be managed?

Professionals in remote data acquisition often face challenges such as ensuring data accuracy from decentralized sources, maintaining secure data transmission, and managing technical issues without on-site support. To overcome these, it's important to establish clear data validation protocols, use reliable remote monitoring tools, and maintain regular communication with both technical and non-technical team members. Building strong documentation habits and participating in virtual training sessions can also help address these challenges effectively.

What jobs in the US pay 300,000 a year?

In remote data acquisition roles, high-paying positions such as senior data scientists, data engineers, or analytics managers can reach or exceed $300,000 annually, especially with extensive experience, advanced skills in programming and data tools, and relevant certifications. These roles often require strong analytical abilities, knowledge of data management platforms, and the ability to work independently in a remote environment.

How can I make 2000 a week working from home?

Remote data acquisition roles can offer high earning potential if you have strong research, analytical, and technical skills. To reach $2000 weekly, you may need to work multiple projects or clients, often requiring experience with data tools and consistent performance. Building a reputation and expanding your client base can help increase your income in this field.

What is the difference between Remote Data Acquisition vs Remote Data Collection?

AspectRemote Data AcquisitionRemote Data Collection
Primary FocusGathering data from various sources, often involving specialized tools and technical processesCollecting data directly from individuals or sources, often through surveys or forms
Required SkillsTechnical skills, data analysis, familiarity with data acquisition toolsCommunication skills, survey design, data entry
Work EnvironmentTechnical settings, remote or on-site labs, fieldworkRemote, office, or field environments
Common IndustriesResearch, engineering, data servicesMarket research, social sciences, healthcare

Remote Data Acquisition involves technical processes to gather data from various sources, often requiring specialized skills. In contrast, Remote Data Collection focuses on gathering data directly from individuals or sources, typically through surveys or forms. Both roles are essential in data-driven industries but differ in methods and skill requirements.

What are the key skills and qualifications needed to thrive as a Remote Data Acquisition Specialist, and why are they important?

To thrive as a Remote Data Acquisition Specialist, you need a strong background in data collection methodologies, analytical skills, and experience with data management, often supported by a degree in computer science, information systems, or a related field. Proficiency with data acquisition tools, APIs, web scraping technologies, and familiarity with database systems like SQL are typically required. Attention to detail, problem-solving skills, and effective remote communication are valuable soft skills for this role. These competencies ensure accurate data gathering, efficient workflow, and reliable collaboration with distributed teams.
More about Remote Data Acquisition jobs
What cities are hiring for Remote Data Acquisition jobs? Cities with the most Remote Data Acquisition job openings:
What are the most commonly searched types of Data Acquisition jobs? The most popular types of Data Acquisition jobs are:
What states have the most Remote Data Acquisition jobs? States with the most job openings for Remote Data Acquisition jobs include:
Infographic showing various Remote Data Acquisition job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Machine Learning Scientist -- Agentic data pipelines

Iambic Therapeutics, Inc

Boston, MA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted yesterday


Job description

Job Summary

We are seeking a scientist to join our team at Iambic Therapeutics, working on data acquisition and curation for Enchant, our multimodal transformer model trained at scale on a wide variety of biomedical data. In this role, you will design and build agentic systems that acquire, clean, format, and quality-control the large-scale datasets that power Enchant training. You will work at the intersection of LLM-based automation and biomedical data engineering—developing AI agents that can navigate heterogeneous data sources, enforce quality standards, and operate reliably at scale.

This role is ideal for candidates who combine strong software engineering instincts with scientific understanding of biomedical data, and who are excited about using LLMs as tools to solve practical data problems.

Key Responsibilities

  • Design, build, and maintain agentic systems for automated data acquisition from public and proprietary biomedical data sources

  • Develop LLM-based pipelines for data cleaning, normalization, and formatting across diverse data modalities (e.g., molecular, genomic, clinical, literature)

  • Implement automated quality-control workflows that detect anomalies, flag inconsistencies, and enforce data standards

  • Evaluate and iterate on agent architectures, prompting strategies, and tool-use patterns to improve reliability and throughput

  • Collaborate with ML scientists on the Enchant team to understand data requirements and translate them into scalable acquisition and processing systems

  • Monitor and maintain data pipelines in production, diagnosing failures and improving robustness over time

  • Document data provenance, processing decisions, and quality metrics to support reproducibility and auditing

Qualifications

Required:

  • Master\'s or PhD in a computational STEM field, or equivalent industry experience

  • Strong Python engineering skills, including experience building and maintaining production-quality software

  • Hands-on experience with LLM APIs (e.g., Claude, GPT) and agentic patterns such as tool use, orchestration, and multi-step reasoning

  • Familiarity with biomedical or chemical data sources and formats (e.g., PDB, UniProt, ChEMBL, SDF/MOL, FASTA, or similar)

  • Comfort with data engineering fundamentals: ETL design, data validation, and working with structured and unstructured data at scale

Desired:

  • Experience with agent orchestration frameworks

  • Familiarity with cloud infrastructure and workflow orchestration (e.g., AWS, Docker, Kubernetes)

  • Knowledge of multimodal biomedical data—spanning small molecules, proteins, assays, images, ‘omics, and/or clinical records

  • Experience with large-scale dataset construction or curation for ML model training

Location

Remote (US or UK). On-site available in Bristol, UK and Boston, US.

ABOUT IAMBIC THERAPEUTICS

Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai.

MISSION & CORE VALUES

Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.

PAY AND BENEFITS

We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.