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Remote Data Collection Jobs in Madison, MS (NOW HIRING)

Workiva

Spring 2027 Intern - Data Analytics

Jackson, MS · On-site +1

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Noblesoft Technologies

SME PowerApps Developer

Jackson, MS · Remote

$50.25 - $65.50/hr

Jackson, MS 39211 - Remote Duration: 5 years Position Description: This position requires a ... Experience as a SharePoint Site Owner and/or Site Collection Administrator Experience with ...

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See Madison, MS salary details

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How much do remote data collection jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote data collection in Madison, MS is $20.59, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $21.11 per hour, depending on experience, location, and employer.

What is remote data collection?

A Remote Data Collection job involves gathering, organizing, and managing data from various sources without needing to be physically present at a specific location. This can include tasks such as conducting surveys, researching online databases, verifying information, or inputting data into digital systems. These roles are common in industries like market research, artificial intelligence training, and business analytics. Strong attention to detail, internet proficiency, and the ability to work independently are key skills for success in this role.

What does a typical workday look like for remote data collection?

A typical day in remote data collection involves gathering, entering, and validating data from various sources such as online surveys, databases, or client submissions. You may collaborate virtually with a team to ensure data accuracy, resolve discrepancies, and report progress. The role often requires managing multiple tasks independently and communicating findings or issues through digital platforms like email or project management tools. While work schedules can often be flexible, meeting deadlines and quality standards is crucial for overall project success.

What are the key skills and qualifications needed to thrive in remote data collection?

To excel in Remote Data Collection, candidates typically need strong analytical abilities, attention to detail, and proficiency in data entry, often supported by experience with spreadsheets or survey software. Familiarity with data management tools such as Microsoft Excel, Google Forms, or specialized data collection platforms is common, and some roles may require training in data privacy or security. Excellent time management, self-motivation, and clear virtual communication enable success in a remote environment. These skills ensure accurate, reliable data collection while maintaining productivity and collaboration from a distance.

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Infographic showing various Remote Data Collection job openings in Madison, MS as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $42,828 per year, or $20.6 per hour.

Agricultural Data Scientist

Legacy Farmer

Jackson, MS • Remote

Full-time

PTO

This job post has expired today. Applications are no longer accepted.

Job description

Agricultural Data Scientist Legacy Farmer is always looking for growth‐oriented, high performance people ready to deliver amazing results for our clients and team.

Location:

Fully Remote Office Hours: Flexible: 8 am – 6 pm Uncapped PTO: Within Reason Base Salary: + Commission Position Summary The Agricultural Data Scientist will play a critical role in advancing Legacy Farmer's mission by managing, cleaning, and interpreting both customer and internal data. This position is responsible for ensuring Legacy Farmer's datasets are structured, accurate, and aligned with long‐term objectives, including the development of AI models that support multi‐level and cross‐departmental functions.

The ideal candidate will have a deep agricultural background and advanced training in agricultural economics, statistics, or a related field. This person will understand the behaviours, decision‐making patterns, and operational realities of agricultural producers, and will champion key initiatives to extract new foundational data that shapes company direction and trains AI systems. This role will report directly to the Director of Engineering and the Director of Coaching, ensuring tight integration between technical development and producer‐facing coaching initiatives.

Key Responsibilities

Data Management & Preparation Oversee the collection, cleaning, and organization of customer and internal datasets. Ensure data integrity across multiple sources, including financial, operational, demographic, and spatial data. Design pipelines that align data for long‐term use in AI/ML model development. Data Analysis & Interpretation Interpret complex agricultural data to provide actionable insights for the Director of Coaching, Director of Engineering, and the leadership team.

Monitor demographic, consumer behavior, and market trend data to identify opportunities and risks. Translate producer behaviour and operational metrics into predictive indicators for Legacy Farmer's coaching and product teams. Survey Design & Data Collection Develop and administer surveys of both internal members and external agricultural producers to gather high‐quality behavioural, financial, and demographic data.

Ensure survey instruments are statistically sound, unbiased, and aligned to produce representative insights . Apply best practices to maximize survey response rates while protecting data quality. Integrate survey results into the broader data strategy to support AI model training and leadership decision‐making. AI & Innovation Alignment Collaborate with the Director of Engineering to ensure datasets meet technical requirements for AI/ML model training.

Collaborate with the Director of Coaching to ensure data reflects producer behaviours and operational realities. Recommend and lead initiatives to extract new forms of foundational data critical for AI model training (e.g., farm‐level financial, spatial, and management practices data). Strategic Leadership Support Present data‐driven findings and trends to the Director of Coaching, Director of Engineering, and leadership team to influence key business initiatives.

Support cross‐departmental projects by providing tailored data analysis and interpretation. Ensure Legacy Farmer's data strategy scales with organisational growth and evolving market demands.

Minimum Qualifications

Master's degree (MS) in Agricultural Economics , Statistics , or a closely related field. Strong academic background with a thesis or coursework directly aligned with agriculture, farm management, or producer economics. Agricultural background required — candidates must demonstrate experience, knowledge, or upbringing within the agricultural industry (no exceptions). Demonstrated high‐level proficiency in: Data management (cleaning, structuring, pipelines). Statistical analysis and econometric modelling. Survey design, administration, and bias minimisation. Data visualization and communication of findings. Proven ability to interpret data and connect insights to real‐world agricultural decisions. Comfortable working in a fast‐changing, innovative environment.

Preferred Qualifications

Experience working with farm‐level datasets, spatial data, or producer decision‐making data. Familiarity with agricultural market structures (banks, equipment dealers, insurance, cooperatives). Understanding of AI/ML concepts and how training data influences model outcomes. Strong communication skills, able to translate complex findings into clear recommendations for both technical and non‐technical audiences. Additional Notes Candidates will be asked to demonstrate proficiency through a test as part of the interview process. This role requires both technical expertise in data and domain expertise in agriculture — only candidates with a verifiable agricultural background will be considered.

Summary:

The Agricultural Data Scientist ensures Legacy Farmer's data is managed, interpreted, and strategically leveraged to advance organisational initiatives and power AI‐driven tools. This role includes responsibility for designing unbiased surveys of agricultural producers to extract critical insights, maximise response rates, and integrate behavioural data into Legacy Farmer's AI and coaching models.

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