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Remote Data Extraction Jobs in Miami, FL (NOW HIRING)

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... scalable ELT/ETL workflows that support enterprise-wide data needs. This role requires deep ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Head of Data (Remote)

Miami, FL · Remote

$15K - $18K/yr

Position Summary The Head of Data owns the organization's overarching data strategy, foundational ... Comprehensive technical fluency in cloud platforms (AWS, GCP, Snowflake, or Databricks), ETL/ELT ...

Job Title- IFS 7 Application Support Location - Remote - USA Contract - 1+ year Key ... assist users with data extraction. * Experience running update scripts. * Business Acumen:

Head of Data

Miami, FL · Remote

$15K - $18K/mo

Comprehensive technical fluency in cloud platforms (AWS, GCP, Snowflake, or Databricks), ETL/ELT ... REMOTE-FIRST & ASYNCHRONOUS * Async-First : We prioritize output over "hours in a seat." * EST ...

Data Platform Engineer

Miami, FL · Remote

$117K - $140K/yr

Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Ability to read and write basic SQL queries for data investigation * Ability to inspect application ... and extract relevant context * Comfortable working with REST APIs: reading documentation ...

Revenue Operations Lead

Miami, FL · Remote

$90K - $160K/yr

... a remote position for US based candidates. Salary range: 90-160K USD base plus benefits plus equity. We are the easiest way to extract data from the web. Developers use us to reliably convert URLs ...

Remote, Florida Zen Media is a leading B2B marketing and PR agency helping enterprise software ... and structured data tools * Understanding how AI models extract and reference web information

Remote, FL Miami Reports to: Head of PR Companies supported: Zen Media + Optimum7 (sister companies ... Knowledge of structured data / schema / citation mechanics * Experience launching editorial ...

Principal Software Engineer (Python)

Sunrise, FL · On-site +1

$128K - $172K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Partner with the Data Science team to architect intelligent routing logic that leverages Small ...

... health data of millions of people. The Bigger Picture Join a 100% remote, highly specialized ... extraction and inversion, membership inference, data and supply-chain poisoning, evasion, and agent ...

... health data of millions of people. The Bigger Picture Join a 100% remote, highly specialized ... extraction and inversion, membership inference, data and supply-chain poisoning, evasion, and agent ...

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Remote Data Extraction information

What are some common challenges faced in a remote data extraction role and how can they be addressed?

One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.

What jobs pay 4000 a week without a degree?

Remote data extraction roles can pay around $4,000 per week for experienced professionals, especially those skilled in data scraping, automation tools, and programming languages like Python or SQL. These positions often require strong technical skills, self-motivation, and the ability to work independently, with some roles offering high pay based on project complexity and volume.

How to make $1000 a week remotely?

Remote data extraction jobs can pay between $10 and $25 per hour, so earning $1000 weekly typically requires working 40 to 50 hours. Developing strong data handling skills, familiarity with tools like Excel or data scraping software, and maintaining consistent productivity can help achieve this income level. Building a reliable client base or working through reputable platforms can also increase earning potential.

What is remote data extraction?

Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.

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

To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.

How to become a data extractor?

To become a remote data extractor, you should develop skills in data collection, cleaning, and analysis, often using tools like Excel, SQL, or web scraping software. Relevant experience, attention to detail, and the ability to work independently are important, and some roles may require basic knowledge of programming languages such as Python or JavaScript.

What is the difference between Remote Data Extraction vs Remote Data Entry?

AspectRemote Data ExtractionRemote Data Entry
Primary FocusExtracting data from various sources like websites, PDFs, or imagesInputting data into databases or spreadsheets
Skills RequiredWeb scraping, data analysis, attention to detailTyping speed, accuracy, basic computer skills
Tools UsedWeb scraping software, OCR tools, data management platformsExcel, Google Sheets, data entry software
Work EnvironmentMostly independent, often project-basedConsistent, repetitive tasks

Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.

Is 40 too late for data science?

Age is not a strict barrier for a remote data extraction or data science role; many professionals transition into the field later in life. Success depends on skills, experience, and continuous learning of tools like Python, SQL, and machine learning concepts, regardless of age.
What job categories do people searching Remote Data Extraction jobs in Miami, FL look for? The top searched job categories for Remote Data Extraction jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Data Extraction jobs? Cities near Miami, FL with the most Remote Data Extraction job openings:
Infographic showing various Remote Data Extraction job openings in Miami, FL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Python & React Engineer with AI (Remote, Latam)

Python & React Engineer with AI (Remote, Latam)

Kubikware

Miami, FL • Remote

Full-time

Posted 17 days ago


Job description

We are Kubikware, a digital agency with 20+ years of experience designing and developing web and mobile platforms, as well as video games, AR/VR apps, and AI/ML. We are headquartered in Miami, FL with a strong South American team, and have clients and partners in the US market of all sizes and verticals. Among other accolades, we are a 5-time Inc. 5000 Fastest Growing Companies in America honoree.

We are looking to expand our amazing roster with a Senior Python, React & AI Engineer, located in Latin America. You will join a fast-paced engagement focused on building and delivering a production-ready, AI-driven solution, with potential for long-term collaboration based on performance.


We are looking for:

  • 6+ years of experience in software engineering (backend or full-stack roles)
  • Strong proficiency in Python (core requirement)
  • Solid experience with React
  • Hands-on experience building APIs and data pipelines
  • Experience working with LLMs or AI-driven workflows
  • Proven experience using AI-assisted development tools (e.g., Claude Code, Codex, or similar)
  • Ability to build and ship production-ready code quickly in fast-paced environments
  • Strong communication skills and ability to work in client-facing roles
  • Experience working in Agile/Scrum environments
Nice to have:
  • Experience with Azure (App Services, Blob Storage, etc.)
  • Background in document processing or structured data extraction
  • Familiarity with LLM validation patterns (e.g., LLM-as-judge)
  • Experience working on early-stage or fast-moving projects
We offer:
  • Fully remote position
  • Long term
  • Full-time 
  • Collaboration with US-based teams (Central Time overlap required)
  • Compensation in US Dollars

If you are as excited to learn more as we are to work with you, please submit your resume and let's be in touch!

Please, no agencies or C2C.

Employment Type: FULL_TIME