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Text To Survey Jobs (NOW HIRING)

REPORTS TO Manger of Text Operations ABOUT THE POSITION Under the direction of the Manager of Text ... surveys, focus groups and other mediums to gather information from volunteers about their ...

Lead Team Center Developer

Fort Worth, TX

$56.50 - $74/hr

Survey labeling requirements by country; make results visible to stakeholders * House instruction text/formatting requirements for text, make visible to stakeholders * Link content to artwork Top ...

Survey Technician

Butler, PA · On-site

$22 - $25/hr

We are seeking a Survey Tech for a position in Butler, PA. Job Summary: Our civil engineering ... agree to receive calls, Al-generated calls, text messages, or emails from Synerfac Technical ...

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Text To Survey information

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$14

$31

$48

How much do text to survey jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for text to survey in the United States is $31.06, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $36.06 per hour, depending on experience, location, and employer.

What are Text to Survey jobs?

Text to Survey jobs involve creating, administering, or analyzing surveys that are distributed and completed via text messages. Professionals in these roles may design survey questions, manage survey distribution through SMS platforms, and interpret the collected data to generate insights. These positions are commonly found in research, marketing, or customer feedback contexts, where mobile accessibility is important. The main goal is to make surveys more convenient and accessible to participants, resulting in higher response rates and more accurate data collection.

What is the difference between Text To Survey vs Survey Programmer?

AspectText To SurveySurvey Programmer
Primary RoleDesigning and creating surveys primarily for SMS or text message deliveryDeveloping and coding complex online surveys for various platforms
Required SkillsSurvey design, basic data analysis, familiarity with SMS toolsProgramming languages (e.g., HTML, JavaScript), survey software expertise
Work EnvironmentMostly remote, working with survey platforms and SMS toolsOffice or remote, working with online survey platforms and coding environments
Industry UsageMarket research, customer feedback via SMSMarket research, academic research, enterprise data collection

Text To Survey specialists focus on creating surveys for SMS delivery, emphasizing simplicity and mobile compatibility. Survey Programmers develop complex online surveys with advanced coding skills. While both roles support data collection, their tools, skills, and delivery methods differ significantly.

What are the key skills and qualifications needed to thrive as a Text to Survey Specialist, and why are they important?

To thrive as a Text to Survey Specialist, you need strong analytical skills, attention to detail, and experience in survey design and data collection, often supported by a degree in social sciences or marketing. Familiarity with survey platforms (such as SurveyMonkey or Qualtrics), SMS delivery tools, and data analysis software is typically required. Excellent written communication, problem-solving ability, and adaptability help you craft clear survey questions and respond to participant feedback. These skills ensure accurate data collection and actionable insights, which are critical for informed decision-making.

What are legit online surveys that pay?

Text To Survey is a legitimate online survey job where participants earn money by completing surveys. Reputable survey sites like Swagbucks, Survey Junkie, and Vindale Research pay users for sharing opinions and completing questionnaires, often with payment options including gift cards or cash via PayPal. It is important to verify the legitimacy of survey platforms and be aware that earnings vary based on survey availability and time invested.

What are typical challenges faced by professionals working in Text to Survey roles, and how can they be addressed?

Professionals in Text to Survey roles often encounter challenges such as ensuring survey questions are clearly understood when converted from text prompts, maintaining data quality, and accommodating diverse respondent demographics. Addressing these challenges involves thorough testing of survey flows, using plain language, and leveraging feedback to improve clarity. Collaboration with data analysts and UX designers is also key to refining the survey process and optimizing response rates.
What cities are hiring for Text To Survey jobs? Cities with the most Text To Survey job openings:
Infographic showing various Text To Survey job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $64,602 per year, or $31.1 per hour.
Postdoctoral Research Associate in AI/Machine Learning

Postdoctoral Research Associate in AI/Machine Learning

Lincoln University of Missouri

Jefferson City, MO • On-site

$50K/yr

Full-time

Posted 24 days ago


Job description

PURPOSE:

The Postdoctoral Research Associate in AI/Machine Learning (AI/ML) will lead advanced analytical, AI/ML, and data science components of a USDA-funded forest farming project. The position will develop and apply state-of-the-art AI/ML methods to survey data to improve understanding of farmer behavior, forest farming adoption, and network development, and will contribute to capacity-building, and outreach activities that strengthen data-driven forest farming and agroforestry decision-making at Lincoln University and across Missouri.

ESSENTIAL JOB FUNCTIONS, DUTIES, & RESPONSIBILITIES:

  • List essential job functions, duties & responsibilities for the role. Try to be as detailed as possible.
  • Design, implement, and validate machine learning models (random forests, support vector machines, neural networks) for survey nonresponse, response propensity estimation, and weighting adjustments using statewide farmer, landowner, and stakeholder survey data.
  • Build AI/Natural Language Processing (NLP) pipelines (including large language models) to analyze open-ended survey and focus group data and predict farmer knowledge, attitudes, and adoption willingness.
  • Apply multivariate and dimensionality-reduction techniques (PCA, Kernel-PCA, feature selection) to complex, mixed-type datasets.
  • Integrate quantitative survey data (Likert-scale, categorical, and continuous variables) with qualitative and text-derived features to build predictive models of forest farming adoption, perceived barriers, and support needs among socially disadvantaged and resource-limited farmers.
  • Translate analytical findings into outreach strategies, educational materials, economic analysis inputs, and policy recommendations.
  • Prepare technical documentation, reproducible pipelines, and interpretation reports for technical and non-technical audiences.
  • Develop and deliver educational modules, short courses, and training materials on AI/ML, data science, and cloud-based analytics (Google Cloud, no-code ML tools) for non-coding students, extension professionals, and farmers, with a strong emphasis on agriculture- and agroforestry-relevant applications.
  • Contribute to evaluation metrics and grant deliverables (reports, model portfolios, AI/NLP frameworks, outreach summaries, policy documents).
  • Lead or co-author peer-reviewed papers, conference presentations, and extension publications.
  • Mentor graduate and undergraduate students on survey, qualitative, and data science tasks.

QUALIFICATIONS:

  • List mandatory qualifications.
  • Ph.D. in Statistics, Data Science, Agricultural or Environmental Data Science, Quantitative Social Science, or a closely related field.
  • Experience in developing and applying machine learning models (such as random forests, support vector machines, and neural networks) to empirical datasets.
  • Experience with handling survey or social science data (e.g., Likert scales, categorical responses, mixed methods) and performing statistical modeling or ML-based analysis.
  • Demonstrated competence in at least one major programming language used for data science (R or Python) and in statistical/ML software workflows.
  • Record of peer-reviewed publications.
  • Eligibility to work in the United States for the duration of the appointment.

PREFERRED QUALIFICATIONS:

  • List any preferred / optional qualifications for this role.
  • Prior research experience in agriculture, forestry, agroforestry, environmental science, or related fields, especially projects involving farmers or landowners.
  • Experience applying AI/ML methods to survey data for nonresponse adjustment, propensity weighting, or behavioral prediction.
  • Background in NLP or text analytics, including work with open-ended survey responses, interviews, or focus group transcripts.
  • Experience designing or delivering educational content on AI/ML, data science, or cloud computing (e.g., short courses, workshops, online modules) for non-coding or mixed-expertise audiences.
  • Familiarity with cloud computing platforms (Google Cloud, AWS) for data analysis and ML model deployment, including use of no-code or low-code tools and AutoML services.
  • Demonstrated interest or experience in community-engaged scholarship, extension, or citizen science, especially with underserved or socially disadvantaged farming populations.

PHYSICAL DEMANDS:

  • List physical demands as necessary. If none, describe the environment the employee will be working in, i.e. This position will work in an office environment with minimal exposure to physical work.
  • This position will work primarily in an office environment.
  • Occasional travel may be required for project meetings, workshops, field days, or outreach events at Lincoln University facilities, partner institutions, and community sites across Missouri.

This job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of Lincoln University. Since no job description can detail all the duties and responsibilities that may be required from time to time in the performance of a job, duties and responsibilities that may be inherent in a job, reasonably required for its performance, or required due to the changing nature of the job shall also be considered part of the jobholder's responsibility.